fyp-report/report/report.bbl
Andre Henriques 10ca099809
All checks were successful
continuous-integration/drone/push Build is passing
finished report I think
2024-05-15 05:22:33 +01:00

1344 lines
52 KiB
Plaintext

% $ biblatex auxiliary file $
% $ biblatex bbl format version 3.2 $
% Do not modify the above lines!
%
% This is an auxiliary file used by the 'biblatex' package.
% This file may safely be deleted. It will be recreated by
% biber as required.
%
\begingroup
\makeatletter
\@ifundefined{ver@biblatex.sty}
{\@latex@error
{Missing 'biblatex' package}
{The bibliography requires the 'biblatex' package.}
\aftergroup\endinput}
{}
\endgroup
\refsection{0}
\datalist[entry]{none/global//global/global}
\entry{amazon-rekognition}{misc}{}
\field{sortinit}{1}
\field{sortinithash}{4f6aaa89bab872aa0999fec09ff8e98a}
\field{labeltitlesource}{title}
\field{journaltitle}{Amazon Web Services, Inc}
\field{month}{12}
\field{note}{[Online; accessed 18. Dec. 2023]}
\field{title}{{What Is Amazon Rekognition? (1:42)}}
\field{year}{2023}
\verb{urlraw}
\verb https://aws.amazon.com/rekognition
\endverb
\verb{url}
\verb https://aws.amazon.com/rekognition
\endverb
\endentry
\entry{amazon-rekognition-custom-labels}{misc}{}
\field{sortinit}{2}
\field{sortinithash}{8b555b3791beccb63322c22f3320aa9a}
\field{labeltitlesource}{title}
\field{month}{12}
\field{note}{[Online; accessed 18. Dec. 2023]}
\field{title}{{What is Amazon Rekognition Custom Labels? - Rekognition}}
\field{year}{2023}
\verb{urlraw}
\verb https://docs.aws.amazon.com/rekognition/latest/customlabels-dg/what-is.html?pg=ln&sec=ft
\endverb
\verb{url}
\verb https://docs.aws.amazon.com/rekognition/latest/customlabels-dg/what-is.html?pg=ln&sec=ft
\endverb
\endentry
\entry{amazon-rekognition-custom-labels-training}{misc}{}
\field{sortinit}{3}
\field{sortinithash}{ad6fe7482ffbd7b9f99c9e8b5dccd3d7}
\field{labeltitlesource}{title}
\field{month}{12}
\field{note}{[Online; accessed 18. Dec. 2023]}
\field{title}{{Training an Amazon Rekognition Custom Labels model - Rekognition}}
\field{year}{2023}
\verb{urlraw}
\verb https://docs.aws.amazon.com/rekognition/latest/customlabels-dg/training-model.html#tm-console
\endverb
\verb{url}
\verb https://docs.aws.amazon.com/rekognition/latest/customlabels-dg/training-model.html#tm-console
\endverb
\endentry
\entry{google-vision-api}{online}{}
\name{author}{1}{}{%
{{hash=8b36e9207c24c76e6719268e49201d94}{%
family={Google},
familyi={G\bibinitperiod}}}%
}
\strng{namehash}{8b36e9207c24c76e6719268e49201d94}
\strng{fullhash}{8b36e9207c24c76e6719268e49201d94}
\strng{bibnamehash}{8b36e9207c24c76e6719268e49201d94}
\strng{authorbibnamehash}{8b36e9207c24c76e6719268e49201d94}
\strng{authornamehash}{8b36e9207c24c76e6719268e49201d94}
\strng{authorfullhash}{8b36e9207c24c76e6719268e49201d94}
\field{sortinit}{4}
\field{sortinithash}{9381316451d1b9788675a07e972a12a7}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Vision {AI} | Google Cloud}
\field{year}{2023}
\verb{urlraw}
\verb https://cloud.google.com/vision?hl=en
\endverb
\verb{url}
\verb https://cloud.google.com/vision?hl=en
\endverb
\endentry
\entry{google-vision-price-sheet}{misc}{}
\field{sortinit}{5}
\field{sortinithash}{20e9b4b0b173788c5dace24730f47d8c}
\field{labeltitlesource}{title}
\field{journaltitle}{Google Cloud}
\field{month}{12}
\field{note}{[Online; accessed 20. Dec. 2023]}
\field{title}{{Pricing {$\vert$} Vertex AI Vision {$\vert$} Google Cloud}}
\field{year}{2023}
\verb{urlraw}
\verb https://cloud.google.com/vision-ai/pricing
\endverb
\verb{url}
\verb https://cloud.google.com/vision-ai/pricing
\endverb
\endentry
\entry{google-vision-product-recognizer-guide}{misc}{}
\field{sortinit}{6}
\field{sortinithash}{b33bc299efb3c36abec520a4c896a66d}
\field{labeltitlesource}{title}
\field{month}{12}
\field{note}{[Online; accessed 20. Dec. 2023]}
\field{title}{{Product Recognizer guide}}
\field{year}{2023}
\verb{urlraw}
\verb https://cloud.google.com/vision-ai/docs/product-recognizer
\endverb
\verb{url}
\verb https://cloud.google.com/vision-ai/docs/product-recognizer
\endverb
\endentry
\entry{mnist}{article}{}
\name{author}{1}{}{%
{{hash=2f5fbdc5c3cf91f62a64663cd72397b3}{%
family={Deng},
familyi={D\bibinitperiod},
given={Li},
giveni={L\bibinitperiod}}}%
}
\list{publisher}{1}{%
{IEEE}%
}
\strng{namehash}{2f5fbdc5c3cf91f62a64663cd72397b3}
\strng{fullhash}{2f5fbdc5c3cf91f62a64663cd72397b3}
\strng{bibnamehash}{2f5fbdc5c3cf91f62a64663cd72397b3}
\strng{authorbibnamehash}{2f5fbdc5c3cf91f62a64663cd72397b3}
\strng{authornamehash}{2f5fbdc5c3cf91f62a64663cd72397b3}
\strng{authorfullhash}{2f5fbdc5c3cf91f62a64663cd72397b3}
\field{sortinit}{7}
\field{sortinithash}{108d0be1b1bee9773a1173443802c0a3}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{journaltitle}{IEEE Signal Processing Magazine}
\field{number}{6}
\field{title}{The mnist database of handwritten digit images for machine learning research}
\field{volume}{29}
\field{year}{2012}
\field{pages}{141\bibrangedash 142}
\range{pages}{2}
\endentry
\entry{mist-high-accuracy}{article}{}
\name{author}{5}{}{%
{{hash=ec3e94c9a6fa7655f35a1faac83a709d}{%
family={An},
familyi={A\bibinitperiod},
given={Sanghyeon},
giveni={S\bibinitperiod}}}%
{{hash=7adc548246fbb4e1d8a091761cb1af95}{%
family={Lee},
familyi={L\bibinitperiod},
given={Min\bibnamedelima Jun},
giveni={M\bibinitperiod\bibinitdelim J\bibinitperiod}}}%
{{hash=d9730f4c920b674f1b84c99a703b797e}{%
family={Park},
familyi={P\bibinitperiod},
given={Sanglee},
giveni={S\bibinitperiod}}}%
{{hash=164495751deac883eb2c56aa3db5ac5f}{%
family={Yang},
familyi={Y\bibinitperiod},
given={Heerin},
giveni={H\bibinitperiod}}}%
{{hash=f463ebb21b49a0a93666c7254b0a49fb}{%
family={So},
familyi={S\bibinitperiod},
given={Jungmin},
giveni={J\bibinitperiod}}}%
}
\strng{namehash}{c9a0af631b7f33929b8a52219b998925}
\strng{fullhash}{e30223f61e9d3e240aec91c5f315b95e}
\strng{bibnamehash}{e30223f61e9d3e240aec91c5f315b95e}
\strng{authorbibnamehash}{e30223f61e9d3e240aec91c5f315b95e}
\strng{authornamehash}{c9a0af631b7f33929b8a52219b998925}
\strng{authorfullhash}{e30223f61e9d3e240aec91c5f315b95e}
\field{sortinit}{8}
\field{sortinithash}{a231b008ebf0ecbe0b4d96dcc159445f}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{eprinttype}{arXiv}
\field{journaltitle}{CoRR}
\field{title}{An Ensemble of Simple Convolutional Neural Network Models for {MNIST} Digit Recognition}
\field{volume}{abs/2008.10400}
\field{year}{2020}
\verb{eprint}
\verb 2008.10400
\endverb
\verb{urlraw}
\verb https://arxiv.org/abs/2008.10400
\endverb
\verb{url}
\verb https://arxiv.org/abs/2008.10400
\endverb
\endentry
\entry{lecun-98}{article}{}
\name{author}{4}{}{%
{{hash=9ae8dc3a930d73e11e1b22a9ef065055}{%
family={LeCun},
familyi={L\bibinitperiod},
given={Y.},
giveni={Y\bibinitperiod}}}%
{{hash=bbfb0f3936c83b7b099561e6f0e32ef3}{%
family={Bottou},
familyi={B\bibinitperiod},
given={L.},
giveni={L\bibinitperiod}}}%
{{hash=419350ebbeb4eba5351469f378dee007}{%
family={Bengio},
familyi={B\bibinitperiod},
given={Y.},
giveni={Y\bibinitperiod}}}%
{{hash=00f962380d25c4d7f23fa6c7e926c3ed}{%
family={Haffner},
familyi={H\bibinitperiod},
given={P.},
giveni={P\bibinitperiod}}}%
}
\strng{namehash}{a8a87a12538dbdb246c3bc01b5a3dcc2}
\strng{fullhash}{46d2e204dc0bc08d019fcff6774ca34f}
\strng{bibnamehash}{46d2e204dc0bc08d019fcff6774ca34f}
\strng{authorbibnamehash}{46d2e204dc0bc08d019fcff6774ca34f}
\strng{authornamehash}{a8a87a12538dbdb246c3bc01b5a3dcc2}
\strng{authorfullhash}{46d2e204dc0bc08d019fcff6774ca34f}
\field{sortinit}{9}
\field{sortinithash}{0a5ebc79d83c96b6579069544c73c7d4}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{journaltitle}{Proceedings of the IEEE}
\field{month}{11}
\field{number}{11}
\field{title}{Gradient-Based Learning Applied to Document Recognition}
\field{volume}{86}
\field{year}{1998}
\field{pages}{2278\bibrangedash 2324}
\range{pages}{47}
\endentry
\entry{imagenet}{inproceedings}{}
\name{author}{6}{}{%
{{hash=0ae7fdc13773f928525f673b05f37149}{%
family={Deng},
familyi={D\bibinitperiod},
given={Jia},
giveni={J\bibinitperiod}}}%
{{hash=7d87c5957b07153c7f18918b92830bf8}{%
family={Dong},
familyi={D\bibinitperiod},
given={Wei},
giveni={W\bibinitperiod}}}%
{{hash=d5670b2600fea169724521e252d9d09d}{%
family={Socher},
familyi={S\bibinitperiod},
given={Richard},
giveni={R\bibinitperiod}}}%
{{hash=2afdae52015b97674d81efea449edce2}{%
family={Li},
familyi={L\bibinitperiod},
given={Li-Jia},
giveni={L\bibinithyphendelim J\bibinitperiod}}}%
{{hash=4838f7fdd28d5cefb28f3b3c734976d4}{%
family={Li},
familyi={L\bibinitperiod},
given={Kai},
giveni={K\bibinitperiod}}}%
{{hash=cd00ce5bc45f687c432e52e0fa1a7aa6}{%
family={Fei-Fei},
familyi={F\bibinithyphendelim F\bibinitperiod},
given={Li},
giveni={L\bibinitperiod}}}%
}
\list{organization}{1}{%
{Ieee}%
}
\strng{namehash}{990420f755e01028377fcad1464c9706}
\strng{fullhash}{a16fdd05c52c264b99fe98f4a5e24c60}
\strng{bibnamehash}{a16fdd05c52c264b99fe98f4a5e24c60}
\strng{authorbibnamehash}{a16fdd05c52c264b99fe98f4a5e24c60}
\strng{authornamehash}{990420f755e01028377fcad1464c9706}
\strng{authorfullhash}{a16fdd05c52c264b99fe98f4a5e24c60}
\field{sortinit}{1}
\field{sortinithash}{4f6aaa89bab872aa0999fec09ff8e98a}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{booktitle}{2009 IEEE conference on computer vision and pattern recognition}
\field{title}{Imagenet: A large-scale hierarchical image database}
\field{year}{2009}
\field{pages}{248\bibrangedash 255}
\range{pages}{8}
\endentry
\entry{krizhevsky2012imagenet}{article}{}
\name{author}{3}{}{%
{{hash=c5e3a676e2ac1164b3afcd539c131fc9}{%
family={Krizhevsky},
familyi={K\bibinitperiod},
given={Alex},
giveni={A\bibinitperiod}}}%
{{hash=8d569d1d5b8b5a7836017a98b430f959}{%
family={Sutskever},
familyi={S\bibinitperiod},
given={Ilya},
giveni={I\bibinitperiod}}}%
{{hash=813bd95fe553e6079cd53a567b238287}{%
family={Hinton},
familyi={H\bibinitperiod},
given={Geoffrey\bibnamedelima E},
giveni={G\bibinitperiod\bibinitdelim E\bibinitperiod}}}%
}
\strng{namehash}{dd291871bfa8ee64447232f1cca429aa}
\strng{fullhash}{1a23c09aa65b3c2ade45ed18d8127375}
\strng{bibnamehash}{1a23c09aa65b3c2ade45ed18d8127375}
\strng{authorbibnamehash}{1a23c09aa65b3c2ade45ed18d8127375}
\strng{authornamehash}{dd291871bfa8ee64447232f1cca429aa}
\strng{authorfullhash}{1a23c09aa65b3c2ade45ed18d8127375}
\field{sortinit}{1}
\field{sortinithash}{4f6aaa89bab872aa0999fec09ff8e98a}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{journaltitle}{Advances in neural information processing systems}
\field{title}{Imagenet classification with deep convolutional neural networks}
\field{volume}{25}
\field{year}{2012}
\endentry
\entry{resnet-152}{article}{}
\name{author}{6}{}{%
{{hash=5f03ce4b1164a38128cb989bcb5142cd}{%
family={Wang},
familyi={W\bibinitperiod},
given={Qilong},
giveni={Q\bibinitperiod}}}%
{{hash=76bcb192eca5ac9560d1bf6c8cefad99}{%
family={Wu},
familyi={W\bibinitperiod},
given={Banggu},
giveni={B\bibinitperiod}}}%
{{hash=3186f5ead79be8894d8c19bcc4c5822e}{%
family={Zhu},
familyi={Z\bibinitperiod},
given={Pengfei},
giveni={P\bibinitperiod}}}%
{{hash=e1ed1573fe71f793460e20e08134ca17}{%
family={Li},
familyi={L\bibinitperiod},
given={Peihua},
giveni={P\bibinitperiod}}}%
{{hash=509ab736fbc2f1e10f41c1bddb2531ed}{%
family={Zuo},
familyi={Z\bibinitperiod},
given={Wangmeng},
giveni={W\bibinitperiod}}}%
{{hash=b8a0fb91ee1e348c1963577d64c2b566}{%
family={Hu},
familyi={H\bibinitperiod},
given={Qinghua},
giveni={Q\bibinitperiod}}}%
}
\strng{namehash}{ec89b10ac64649f9959ff86aa3160671}
\strng{fullhash}{a61f51e99239d4d969872b0436c3bc29}
\strng{bibnamehash}{a61f51e99239d4d969872b0436c3bc29}
\strng{authorbibnamehash}{a61f51e99239d4d969872b0436c3bc29}
\strng{authornamehash}{ec89b10ac64649f9959ff86aa3160671}
\strng{authorfullhash}{a61f51e99239d4d969872b0436c3bc29}
\field{sortinit}{1}
\field{sortinithash}{4f6aaa89bab872aa0999fec09ff8e98a}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{eprinttype}{arXiv}
\field{journaltitle}{CoRR}
\field{title}{ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks}
\field{volume}{abs/1910.03151}
\field{year}{2019}
\verb{eprint}
\verb 1910.03151
\endverb
\verb{urlraw}
\verb http://arxiv.org/abs/1910.03151
\endverb
\verb{url}
\verb http://arxiv.org/abs/1910.03151
\endverb
\endentry
\entry{efficientnet}{article}{}
\name{author}{2}{}{%
{{hash=1e7d6abb8225099acc71f672b9ec336e}{%
family={Tan},
familyi={T\bibinitperiod},
given={Mingxing},
giveni={M\bibinitperiod}}}%
{{hash=c636f146591d51579a8119b777394878}{%
family={Le},
familyi={L\bibinitperiod},
given={Quoc\bibnamedelima V.},
giveni={Q\bibinitperiod\bibinitdelim V\bibinitperiod}}}%
}
\strng{namehash}{d029e8131f7a0bef056d7edc726f1529}
\strng{fullhash}{d029e8131f7a0bef056d7edc726f1529}
\strng{bibnamehash}{d029e8131f7a0bef056d7edc726f1529}
\strng{authorbibnamehash}{d029e8131f7a0bef056d7edc726f1529}
\strng{authornamehash}{d029e8131f7a0bef056d7edc726f1529}
\strng{authorfullhash}{d029e8131f7a0bef056d7edc726f1529}
\field{extraname}{1}
\field{sortinit}{1}
\field{sortinithash}{4f6aaa89bab872aa0999fec09ff8e98a}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{eprinttype}{arXiv}
\field{journaltitle}{CoRR}
\field{title}{EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks}
\field{volume}{abs/1905.11946}
\field{year}{2019}
\verb{eprint}
\verb 1905.11946
\endverb
\verb{urlraw}
\verb http://arxiv.org/abs/1905.11946
\endverb
\verb{url}
\verb http://arxiv.org/abs/1905.11946
\endverb
\endentry
\entry{resnet}{misc}{}
\name{author}{4}{}{%
{{hash=6b4b60e909e78633945f3f9c9dc83e01}{%
family={He},
familyi={H\bibinitperiod},
given={Kaiming},
giveni={K\bibinitperiod}}}%
{{hash=5e72bc22dbcf0984c6d113d280e36990}{%
family={Zhang},
familyi={Z\bibinitperiod},
given={Xiangyu},
giveni={X\bibinitperiod}}}%
{{hash=bb295293acacd54387339079ebbe4ead}{%
family={Ren},
familyi={R\bibinitperiod},
given={Shaoqing},
giveni={S\bibinitperiod}}}%
{{hash=f85751488058842b5777c7b4074077b5}{%
family={Sun},
familyi={S\bibinitperiod},
given={Jian},
giveni={J\bibinitperiod}}}%
}
\strng{namehash}{6edb98fe38401d2fe4a026f5ce6e8451}
\strng{fullhash}{42c4b52dc3a62cebabbc11c73e1afb53}
\strng{bibnamehash}{42c4b52dc3a62cebabbc11c73e1afb53}
\strng{authorbibnamehash}{42c4b52dc3a62cebabbc11c73e1afb53}
\strng{authornamehash}{6edb98fe38401d2fe4a026f5ce6e8451}
\strng{authorfullhash}{42c4b52dc3a62cebabbc11c73e1afb53}
\field{sortinit}{1}
\field{sortinithash}{4f6aaa89bab872aa0999fec09ff8e98a}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{eprintclass}{cs.CV}
\field{eprinttype}{arXiv}
\field{title}{Deep Residual Learning for Image Recognition}
\field{year}{2015}
\verb{eprint}
\verb 1512.03385
\endverb
\endentry
\entry{going-deeper-with-convolutions}{misc}{}
\name{author}{9}{}{%
{{hash=ed568d9c3bb059e6bf22899fbf170f86}{%
family={Szegedy},
familyi={S\bibinitperiod},
given={Christian},
giveni={C\bibinitperiod}}}%
{{hash=c0e0d23e2d09e45e6f51cc2bcea6d9f9}{%
family={Liu},
familyi={L\bibinitperiod},
given={Wei},
giveni={W\bibinitperiod}}}%
{{hash=9fce03efe6b3331a1b93ed2e7c0da9d5}{%
family={Jia},
familyi={J\bibinitperiod},
given={Yangqing},
giveni={Y\bibinitperiod}}}%
{{hash=15f5333df96deaf51c72d065bded37d8}{%
family={Sermanet},
familyi={S\bibinitperiod},
given={Pierre},
giveni={P\bibinitperiod}}}%
{{hash=698ee61a2f3fa29734204496d2d36aef}{%
family={Reed},
familyi={R\bibinitperiod},
given={Scott},
giveni={S\bibinitperiod}}}%
{{hash=c1826f3465579186aff299a9b0e16ed7}{%
family={Anguelov},
familyi={A\bibinitperiod},
given={Dragomir},
giveni={D\bibinitperiod}}}%
{{hash=8bbc4c5d96f205bada839e74e0202146}{%
family={Erhan},
familyi={E\bibinitperiod},
given={Dumitru},
giveni={D\bibinitperiod}}}%
{{hash=8051922e7bd286f884bfbd1023ef62f5}{%
family={Vanhoucke},
familyi={V\bibinitperiod},
given={Vincent},
giveni={V\bibinitperiod}}}%
{{hash=aa04c4d6213a1e867b1650e298cb2668}{%
family={Rabinovich},
familyi={R\bibinitperiod},
given={Andrew},
giveni={A\bibinitperiod}}}%
}
\strng{namehash}{80f8e6bfc3aff3e75b2807a6f6962740}
\strng{fullhash}{64fbaf3c8a6b53523f74f0087b58e7e6}
\strng{bibnamehash}{80f8e6bfc3aff3e75b2807a6f6962740}
\strng{authorbibnamehash}{80f8e6bfc3aff3e75b2807a6f6962740}
\strng{authornamehash}{80f8e6bfc3aff3e75b2807a6f6962740}
\strng{authorfullhash}{64fbaf3c8a6b53523f74f0087b58e7e6}
\field{sortinit}{1}
\field{sortinithash}{4f6aaa89bab872aa0999fec09ff8e98a}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{eprintclass}{cs.CV}
\field{eprinttype}{arXiv}
\field{title}{Going Deeper with Convolutions}
\field{year}{2014}
\verb{eprint}
\verb 1409.4842
\endverb
\endentry
\entry{very-deep-convolution-networks-for-large-scale-image-recognition}{misc}{}
\name{author}{2}{}{%
{{hash=9d16b7284df92c9adaee86c37ab992df}{%
family={Simonyan},
familyi={S\bibinitperiod},
given={Karen},
giveni={K\bibinitperiod}}}%
{{hash=c72fc39e94030f67717052309266a44d}{%
family={Zisserman},
familyi={Z\bibinitperiod},
given={Andrew},
giveni={A\bibinitperiod}}}%
}
\strng{namehash}{25d2f3c4577a6632d37f0126cc781232}
\strng{fullhash}{25d2f3c4577a6632d37f0126cc781232}
\strng{bibnamehash}{25d2f3c4577a6632d37f0126cc781232}
\strng{authorbibnamehash}{25d2f3c4577a6632d37f0126cc781232}
\strng{authornamehash}{25d2f3c4577a6632d37f0126cc781232}
\strng{authorfullhash}{25d2f3c4577a6632d37f0126cc781232}
\field{sortinit}{1}
\field{sortinithash}{4f6aaa89bab872aa0999fec09ff8e98a}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{eprintclass}{cs.CV}
\field{eprinttype}{arXiv}
\field{title}{Very Deep Convolutional Networks for Large-Scale Image Recognition}
\field{year}{2015}
\verb{eprint}
\verb 1409.1556
\endverb
\endentry
\entry{efficient-net}{misc}{}
\name{author}{2}{}{%
{{hash=1e7d6abb8225099acc71f672b9ec336e}{%
family={Tan},
familyi={T\bibinitperiod},
given={Mingxing},
giveni={M\bibinitperiod}}}%
{{hash=c636f146591d51579a8119b777394878}{%
family={Le},
familyi={L\bibinitperiod},
given={Quoc\bibnamedelima V.},
giveni={Q\bibinitperiod\bibinitdelim V\bibinitperiod}}}%
}
\strng{namehash}{d029e8131f7a0bef056d7edc726f1529}
\strng{fullhash}{d029e8131f7a0bef056d7edc726f1529}
\strng{bibnamehash}{d029e8131f7a0bef056d7edc726f1529}
\strng{authorbibnamehash}{d029e8131f7a0bef056d7edc726f1529}
\strng{authornamehash}{d029e8131f7a0bef056d7edc726f1529}
\strng{authorfullhash}{d029e8131f7a0bef056d7edc726f1529}
\field{extraname}{2}
\field{sortinit}{1}
\field{sortinithash}{4f6aaa89bab872aa0999fec09ff8e98a}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{eprintclass}{cs.LG}
\field{eprinttype}{arXiv}
\field{title}{EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks}
\field{year}{2020}
\verb{eprint}
\verb 1905.11946
\endverb
\endentry
\entry{inverted-bottleneck-mobilenet}{inproceedings}{}
\name{author}{5}{}{%
{{hash=8f90fd131c2bbfde4d0e9fdd7ed4ea8b}{%
family={Sandler},
familyi={S\bibinitperiod},
given={Mark},
giveni={M\bibinitperiod}}}%
{{hash=315c4166fc1f7cb66324a7f0d82827cd}{%
family={Howard},
familyi={H\bibinitperiod},
given={Andrew},
giveni={A\bibinitperiod}}}%
{{hash=d767e8e4d733bcf728bcdf2c193462f7}{%
family={Zhu},
familyi={Z\bibinitperiod},
given={Menglong},
giveni={M\bibinitperiod}}}%
{{hash=48f4090a93cf9f445057a9d6defe7973}{%
family={Zhmoginov},
familyi={Z\bibinitperiod},
given={Andrey},
giveni={A\bibinitperiod}}}%
{{hash=9dddfcfd529634a150ee38ee5c0203d7}{%
family={Chen},
familyi={C\bibinitperiod},
given={Liang-Chieh},
giveni={L\bibinithyphendelim C\bibinitperiod}}}%
}
\strng{namehash}{70179dd377b16c4cfcc0748ef0bd028a}
\strng{fullhash}{8d58d04315a5e1c06300772330b235d7}
\strng{bibnamehash}{8d58d04315a5e1c06300772330b235d7}
\strng{authorbibnamehash}{8d58d04315a5e1c06300772330b235d7}
\strng{authornamehash}{70179dd377b16c4cfcc0748ef0bd028a}
\strng{authorfullhash}{8d58d04315a5e1c06300772330b235d7}
\field{sortinit}{2}
\field{sortinithash}{8b555b3791beccb63322c22f3320aa9a}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{booktitle}{2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition}
\field{title}{MobileNetV2: Inverted Residuals and Linear Bottlenecks}
\field{year}{2018}
\field{pages}{4510\bibrangedash 4520}
\range{pages}{11}
\verb{doi}
\verb 10.1109/CVPR.2018.00474
\endverb
\keyw{Manifolds;Neural networks;Computer architecture;Standards;Computational modeling;Task analysis}
\endentry
\entry{tensorflow2015-whitepaper}{misc}{}
\name{author}{40}{}{%
{{hash=396d6419316ec52f4c63b2f85912b61b}{%
family={Martín\bibnamedelima Abadi},
familyi={M\bibinitperiod\bibinitdelim A\bibinitperiod}}}%
{{hash=f337a7c116835c22bb206d2f0d7c70e0}{%
family={Ashish\bibnamedelima Agarwal},
familyi={A\bibinitperiod\bibinitdelim A\bibinitperiod}}}%
{{hash=84ac9fcb6c15dcd79c092bc8e20586ba}{%
family={Paul\bibnamedelima Barham},
familyi={P\bibinitperiod\bibinitdelim B\bibinitperiod}}}%
{{hash=d8574748e3086e0b279a58cdba71763d}{%
family={Eugene\bibnamedelima Brevdo},
familyi={E\bibinitperiod\bibinitdelim B\bibinitperiod}}}%
{{hash=c0b56f741b5a5bddfe77f1881c3cc67a}{%
family={Zhifeng\bibnamedelima Chen},
familyi={Z\bibinitperiod\bibinitdelim C\bibinitperiod}}}%
{{hash=8b8dd2e01366c855f42e47027cf23e98}{%
family={Craig\bibnamedelima Citro},
familyi={C\bibinitperiod\bibinitdelim C\bibinitperiod}}}%
{{hash=978a7d9601bf09e03d1bb3f6cce7a0ce}{%
family={Greg\bibnamedelima S.\bibnamedelimi Corrado},
familyi={G\bibinitperiod\bibinitdelim S\bibinitperiod\bibinitdelim C\bibinitperiod}}}%
{{hash=3b500b0dfd88e6e151d29108fdcb82f0}{%
family={Andy\bibnamedelima Davis},
familyi={A\bibinitperiod\bibinitdelim D\bibinitperiod}}}%
{{hash=2fd376ea3b3a3da11704c0ee86753dcf}{%
family={Jeffrey\bibnamedelima Dean},
familyi={J\bibinitperiod\bibinitdelim D\bibinitperiod}}}%
{{hash=5b34e641dd8a00f97c6242ae0353eb90}{%
family={Matthieu\bibnamedelima Devin},
familyi={M\bibinitperiod\bibinitdelim D\bibinitperiod}}}%
{{hash=5b4490947d4e91359646ce3c93cbd2f7}{%
family={Sanjay\bibnamedelima Ghemawat},
familyi={S\bibinitperiod\bibinitdelim G\bibinitperiod}}}%
{{hash=1fdef10b94ee122ef6136197f99e3df3}{%
family={Ian\bibnamedelima Goodfellow},
familyi={I\bibinitperiod\bibinitdelim G\bibinitperiod}}}%
{{hash=166ae8a0b435eded68e39e9e2d2a1ee8}{%
family={Andrew\bibnamedelima Harp},
familyi={A\bibinitperiod\bibinitdelim H\bibinitperiod}}}%
{{hash=7e9f7006151cf312bc133568336c68c6}{%
family={Geoffrey\bibnamedelima Irving},
familyi={G\bibinitperiod\bibinitdelim I\bibinitperiod}}}%
{{hash=08c1890e1c33279b8c63c71fa8f19263}{%
family={Michael\bibnamedelima Isard},
familyi={M\bibinitperiod\bibinitdelim I\bibinitperiod}}}%
{{hash=9fce03efe6b3331a1b93ed2e7c0da9d5}{%
family={Jia},
familyi={J\bibinitperiod},
given={Yangqing},
giveni={Y\bibinitperiod}}}%
{{hash=c0c0eea5379268c0c5b68732c90984b6}{%
family={Rafal\bibnamedelima Jozefowicz},
familyi={R\bibinitperiod\bibinitdelim J\bibinitperiod}}}%
{{hash=cff46cb4603a73d83b11ea7a9ded9d79}{%
family={Lukasz\bibnamedelima Kaiser},
familyi={L\bibinitperiod\bibinitdelim K\bibinitperiod}}}%
{{hash=d088e0f635523b8b5b18662331e4f44a}{%
family={Manjunath\bibnamedelima Kudlur},
familyi={M\bibinitperiod\bibinitdelim K\bibinitperiod}}}%
{{hash=1c24291ae15b979c82aa09a33790cb62}{%
family={Josh\bibnamedelima Levenberg},
familyi={J\bibinitperiod\bibinitdelim L\bibinitperiod}}}%
{{hash=796a3a98ff7545fe10f6a4c17ba016fa}{%
family={Dandelion\bibnamedelima Mané},
familyi={D\bibinitperiod\bibinitdelim M\bibinitperiod}}}%
{{hash=1ee98d232eb1fc1208a8f8ca649e970b}{%
family={Rajat\bibnamedelima Monga},
familyi={R\bibinitperiod\bibinitdelim M\bibinitperiod}}}%
{{hash=b2a15ec3d90955ece50ea26d31100b9a}{%
family={Sherry\bibnamedelima Moore},
familyi={S\bibinitperiod\bibinitdelim M\bibinitperiod}}}%
{{hash=1494c573fadad736c58cf1119ac59239}{%
family={Derek\bibnamedelima Murray},
familyi={D\bibinitperiod\bibinitdelim M\bibinitperiod}}}%
{{hash=ecf58eb1684af6cba2c1f126405eedab}{%
family={Chris\bibnamedelima Olah},
familyi={C\bibinitperiod\bibinitdelim O\bibinitperiod}}}%
{{hash=9f43befd94cd09a9aaa7ea8489405a83}{%
family={Mike\bibnamedelima Schuster},
familyi={M\bibinitperiod\bibinitdelim S\bibinitperiod}}}%
{{hash=4712800a228b1179529b9f6e0d1b1838}{%
family={Jonathon\bibnamedelima Shlens},
familyi={J\bibinitperiod\bibinitdelim S\bibinitperiod}}}%
{{hash=41ad6ff6c026d5a3730269072b31caf1}{%
family={Benoit\bibnamedelima Steiner},
familyi={B\bibinitperiod\bibinitdelim S\bibinitperiod}}}%
{{hash=b02f7871db6fc5524cec4ce38e104410}{%
family={Ilya\bibnamedelima Sutskever},
familyi={I\bibinitperiod\bibinitdelim S\bibinitperiod}}}%
{{hash=63288446e47b1d383f522ede84aa6fcc}{%
family={Kunal\bibnamedelima Talwar},
familyi={K\bibinitperiod\bibinitdelim T\bibinitperiod}}}%
{{hash=1dec75595b55bf77971f6a932d146b81}{%
family={Paul\bibnamedelima Tucker},
familyi={P\bibinitperiod\bibinitdelim T\bibinitperiod}}}%
{{hash=b6680dbb0176cb9bd87a3b26fa6f5cfb}{%
family={Vincent\bibnamedelima Vanhoucke},
familyi={V\bibinitperiod\bibinitdelim V\bibinitperiod}}}%
{{hash=e030c9d199c66657e26138be29814d81}{%
family={Vijay\bibnamedelima Vasudevan},
familyi={V\bibinitperiod\bibinitdelim V\bibinitperiod}}}%
{{hash=04426b798803cfaf3e8aa9280a5d0a58}{%
family={Fernanda\bibnamedelima Viégas},
familyi={F\bibinitperiod\bibinitdelim V\bibinitperiod}}}%
{{hash=fa7242e11c7d955de2ac1be94ca29073}{%
family={Oriol\bibnamedelima Vinyals},
familyi={O\bibinitperiod\bibinitdelim V\bibinitperiod}}}%
{{hash=8c9ee8f70a3c3d97f85efd01c4e9cbe6}{%
family={Pete\bibnamedelima Warden},
familyi={P\bibinitperiod\bibinitdelim W\bibinitperiod}}}%
{{hash=8e4243c228c72a5e5279e31252887b32}{%
family={Martin\bibnamedelima Wattenberg},
familyi={M\bibinitperiod\bibinitdelim W\bibinitperiod}}}%
{{hash=c6a6eb2597f23589fc9141bdda275996}{%
family={Martin\bibnamedelima Wicke},
familyi={M\bibinitperiod\bibinitdelim W\bibinitperiod}}}%
{{hash=3ea39e6dc6ef47029ae996c7e63f1a48}{%
family={Yuan\bibnamedelima Yu},
familyi={Y\bibinitperiod\bibinitdelim Y\bibinitperiod}}}%
{{hash=b69feb3a3d59a312b20dbef0b1d2d6de}{%
family={Xiaoqiang\bibnamedelima Zheng},
familyi={X\bibinitperiod\bibinitdelim Z\bibinitperiod}}}%
}
\strng{namehash}{7fdd865be502254047a3b2638dc0cfeb}
\strng{fullhash}{9b332dc9b33a2f6316d71d525269bd0f}
\strng{bibnamehash}{7fdd865be502254047a3b2638dc0cfeb}
\strng{authorbibnamehash}{7fdd865be502254047a3b2638dc0cfeb}
\strng{authornamehash}{7fdd865be502254047a3b2638dc0cfeb}
\strng{authorfullhash}{9b332dc9b33a2f6316d71d525269bd0f}
\field{sortinit}{2}
\field{sortinithash}{8b555b3791beccb63322c22f3320aa9a}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{note}{Software available from tensorflow.org}
\field{title}{{TensorFlow}: Large-Scale Machine Learning on Heterogeneous Systems}
\field{year}{2015}
\verb{urlraw}
\verb https://www.tensorflow.org/
\endverb
\verb{url}
\verb https://www.tensorflow.org/
\endverb
\endentry
\entry{pytorch}{incollection}{}
\name{author}{21}{}{%
{{hash=56bf0b340039cf8594436a624ff548a9}{%
family={Paszke},
familyi={P\bibinitperiod},
given={Adam},
giveni={A\bibinitperiod}}}%
{{hash=4ba5062e5919c814aceec188d54c01f2}{%
family={Gross},
familyi={G\bibinitperiod},
given={Sam},
giveni={S\bibinitperiod}}}%
{{hash=e5dfae4582081d649e3a0d5342050016}{%
family={Massa},
familyi={M\bibinitperiod},
given={Francisco},
giveni={F\bibinitperiod}}}%
{{hash=b5815e1692fa2d0c1f44eecf509bd7c4}{%
family={Lerer},
familyi={L\bibinitperiod},
given={Adam},
giveni={A\bibinitperiod}}}%
{{hash=b75383e6b48c8360c7a60031424c85cf}{%
family={Bradbury},
familyi={B\bibinitperiod},
given={James},
giveni={J\bibinitperiod}}}%
{{hash=f897ed422c34d95af2e22778dfc2607e}{%
family={Chanan},
familyi={C\bibinitperiod},
given={Gregory},
giveni={G\bibinitperiod}}}%
{{hash=046269e070246feb6f394141db80ed87}{%
family={Killeen},
familyi={K\bibinitperiod},
given={Trevor},
giveni={T\bibinitperiod}}}%
{{hash=c40352c194e60a3ef458ee7e8685afb5}{%
family={Lin},
familyi={L\bibinitperiod},
given={Zeming},
giveni={Z\bibinitperiod}}}%
{{hash=6e45f49ec618e619efad90c8e8a61f0c}{%
family={Gimelshein},
familyi={G\bibinitperiod},
given={Natalia},
giveni={N\bibinitperiod}}}%
{{hash=f65a80959d520337ae99a0798515036c}{%
family={Antiga},
familyi={A\bibinitperiod},
given={Luca},
giveni={L\bibinitperiod}}}%
{{hash=954cf7680b6ce14813973eccdca3c4bc}{%
family={Desmaison},
familyi={D\bibinitperiod},
given={Alban},
giveni={A\bibinitperiod}}}%
{{hash=c1b8f8db68d6667b9f2f9a9a3567721b}{%
family={Kopf},
familyi={K\bibinitperiod},
given={Andreas},
giveni={A\bibinitperiod}}}%
{{hash=b9e701339e56fd0b171145b08288a1b7}{%
family={Yang},
familyi={Y\bibinitperiod},
given={Edward},
giveni={E\bibinitperiod}}}%
{{hash=3f9535be511fd2fa346093e63b8e61a0}{%
family={DeVito},
familyi={D\bibinitperiod},
given={Zachary},
giveni={Z\bibinitperiod}}}%
{{hash=d814afaa50b9e22ab92cc9f8f9a9e43a}{%
family={Raison},
familyi={R\bibinitperiod},
given={Martin},
giveni={M\bibinitperiod}}}%
{{hash=3feeeebee8583ecc208f7fb3e0a55068}{%
family={Tejani},
familyi={T\bibinitperiod},
given={Alykhan},
giveni={A\bibinitperiod}}}%
{{hash=e18536d5cb7543731fbf2ca1a4908732}{%
family={Chilamkurthy},
familyi={C\bibinitperiod},
given={Sasank},
giveni={S\bibinitperiod}}}%
{{hash=0a0b028c6b85c46f368317d0c5bfe3a0}{%
family={Steiner},
familyi={S\bibinitperiod},
given={Benoit},
giveni={B\bibinitperiod}}}%
{{hash=998a001f16bb57c079c1d5afb1cb02c8}{%
family={Fang},
familyi={F\bibinitperiod},
given={Lu},
giveni={L\bibinitperiod}}}%
{{hash=3f19c633bbfb847db6a0e71d3659eacd}{%
family={Bai},
familyi={B\bibinitperiod},
given={Junjie},
giveni={J\bibinitperiod}}}%
{{hash=8ef51a0906e47d2b4472c4e714ed598f}{%
family={Chintala},
familyi={C\bibinitperiod},
given={Soumith},
giveni={S\bibinitperiod}}}%
}
\list{publisher}{1}{%
{Curran Associates, Inc.}%
}
\strng{namehash}{724e74fc18651eb78eb82fbcd1d9dfb1}
\strng{fullhash}{ba1e2da270d08cb8de2856498a028fed}
\strng{bibnamehash}{724e74fc18651eb78eb82fbcd1d9dfb1}
\strng{authorbibnamehash}{724e74fc18651eb78eb82fbcd1d9dfb1}
\strng{authornamehash}{724e74fc18651eb78eb82fbcd1d9dfb1}
\strng{authorfullhash}{ba1e2da270d08cb8de2856498a028fed}
\field{sortinit}{2}
\field{sortinithash}{8b555b3791beccb63322c22f3320aa9a}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{booktitle}{Advances in Neural Information Processing Systems 32}
\field{title}{PyTorch: An Imperative Style, High-Performance Deep Learning Library}
\field{year}{2019}
\field{pages}{8024\bibrangedash 8035}
\range{pages}{12}
\verb{urlraw}
\verb http://papers.neurips.cc/paper/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf
\endverb
\verb{url}
\verb http://papers.neurips.cc/paper/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf
\endverb
\endentry
\entry{pytorch-vs-tensorflow-1}{misc}{}
\field{sortinit}{2}
\field{sortinithash}{8b555b3791beccb63322c22f3320aa9a}
\field{labeltitlesource}{title}
\field{month}{12}
\field{note}{[Online; accessed 14. May 2024]}
\field{title}{{PyTorch vs TensorFlow: Deep Learning Frameworks [2024]}}
\field{year}{2023}
\verb{urlraw}
\verb https://www.knowledgehut.com/blog/data-science/pytorch-vs-tensorflow
\endverb
\verb{url}
\verb https://www.knowledgehut.com/blog/data-science/pytorch-vs-tensorflow
\endverb
\endentry
\entry{pytorch-vs-tensorflow-2}{article}{}
\name{author}{1}{}{%
{{hash=5079643d4e5ebf5ceb5dfb40ee8525d4}{%
family={O'Connor},
familyi={O\bibinitperiod},
given={Ryan},
giveni={R\bibinitperiod}}}%
}
\list{publisher}{1}{%
{News, Tutorials, AI Research}%
}
\strng{namehash}{5079643d4e5ebf5ceb5dfb40ee8525d4}
\strng{fullhash}{5079643d4e5ebf5ceb5dfb40ee8525d4}
\strng{bibnamehash}{5079643d4e5ebf5ceb5dfb40ee8525d4}
\strng{authorbibnamehash}{5079643d4e5ebf5ceb5dfb40ee8525d4}
\strng{authornamehash}{5079643d4e5ebf5ceb5dfb40ee8525d4}
\strng{authorfullhash}{5079643d4e5ebf5ceb5dfb40ee8525d4}
\field{sortinit}{2}
\field{sortinithash}{8b555b3791beccb63322c22f3320aa9a}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{journaltitle}{News, Tutorials, AI Research}
\field{month}{4}
\field{title}{{PyTorch vs TensorFlow in 2023}}
\field{year}{2023}
\verb{urlraw}
\verb https://www.assemblyai.com/blog/pytorch-vs-tensorflow-in-2023
\endverb
\verb{url}
\verb https://www.assemblyai.com/blog/pytorch-vs-tensorflow-in-2023
\endverb
\endentry
\entry{json-api-usage-stats}{article}{}
\name{author}{1}{}{%
{{hash=17d848142becf7c7ee4a0e0da00ed40b}{%
family={Hnatyuk},
familyi={H\bibinitperiod},
given={Kolya},
giveni={K\bibinitperiod}}}%
}
\list{publisher}{1}{%
{MarketSplash}%
}
\strng{namehash}{17d848142becf7c7ee4a0e0da00ed40b}
\strng{fullhash}{17d848142becf7c7ee4a0e0da00ed40b}
\strng{bibnamehash}{17d848142becf7c7ee4a0e0da00ed40b}
\strng{authorbibnamehash}{17d848142becf7c7ee4a0e0da00ed40b}
\strng{authornamehash}{17d848142becf7c7ee4a0e0da00ed40b}
\strng{authorfullhash}{17d848142becf7c7ee4a0e0da00ed40b}
\field{sortinit}{2}
\field{sortinithash}{8b555b3791beccb63322c22f3320aa9a}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{journaltitle}{MarketSplash}
\field{month}{10}
\field{title}{{130+ API Statistics: Usage, Growth {\&} Security}}
\field{year}{2023}
\verb{urlraw}
\verb https://marketsplash.com/api-statistics
\endverb
\verb{url}
\verb https://marketsplash.com/api-statistics
\endverb
\endentry
\entry{nginx}{misc}{}
\field{sortinit}{2}
\field{sortinithash}{8b555b3791beccb63322c22f3320aa9a}
\field{labeltitlesource}{title}
\field{journaltitle}{NGINX}
\field{month}{2}
\field{note}{[Online; accessed 12. Mar. 2024]}
\field{title}{{Advanced Load Balancer, Web Server, {\&} Reverse Proxy - NGINX}}
\field{year}{2024}
\verb{urlraw}
\verb https://www.nginx.com
\endverb
\verb{url}
\verb https://www.nginx.com
\endverb
\endentry
\entry{postgressql}{misc}{}
\field{sortinit}{2}
\field{sortinithash}{8b555b3791beccb63322c22f3320aa9a}
\field{labeltitlesource}{title}
\field{journaltitle}{PostgreSQL}
\field{month}{5}
\field{note}{[Online; accessed 14. May 2024]}
\field{title}{{PostgreSQL}}
\field{year}{2024}
\verb{urlraw}
\verb https://www.postgresql.org
\endverb
\verb{url}
\verb https://www.postgresql.org
\endverb
\endentry
\entry{svelte}{misc}{}
\field{sortinit}{2}
\field{sortinithash}{8b555b3791beccb63322c22f3320aa9a}
\field{labeltitlesource}{title}
\field{month}{3}
\field{note}{[Online; accessed 12. Mar. 2024]}
\field{title}{{Svelte {\ifmmode\bullet\else•\fi} Cybernetically enhanced web apps}}
\field{year}{2024}
\verb{urlraw}
\verb https://svelte.dev
\endverb
\verb{url}
\verb https://svelte.dev
\endverb
\endentry
\entry{state-of-js-2022}{misc}{}
\field{sortinit}{2}
\field{sortinithash}{8b555b3791beccb63322c22f3320aa9a}
\field{labeltitlesource}{title}
\field{month}{11}
\field{note}{[Online; accessed 12. Mar. 2024]}
\field{title}{{State of JavaScript 2022: Front-end Frameworks}}
\field{year}{2023}
\verb{urlraw}
\verb https://2022.stateofjs.com/en-US/libraries/front-end-frameworks
\endverb
\verb{url}
\verb https://2022.stateofjs.com/en-US/libraries/front-end-frameworks
\endverb
\endentry
\entry{js-frontend-frameworks-performance}{misc}{}
\field{sortinit}{3}
\field{sortinithash}{ad6fe7482ffbd7b9f99c9e8b5dccd3d7}
\field{labeltitlesource}{title}
\field{month}{3}
\field{note}{[Online; accessed 12. Mar. 2024]}
\field{title}{{Interactive Results}}
\field{year}{2024}
\verb{urlraw}
\verb https://krausest.github.io/js-framework-benchmark/current.html
\endverb
\verb{url}
\verb https://krausest.github.io/js-framework-benchmark/current.html
\endverb
\endentry
\entry{svelte-kit}{misc}{}
\field{sortinit}{3}
\field{sortinithash}{ad6fe7482ffbd7b9f99c9e8b5dccd3d7}
\field{labeltitlesource}{title}
\field{month}{3}
\field{note}{[Online; accessed 12. Mar. 2024]}
\field{title}{{SvelteKit {\ifmmode\bullet\else•\fi} Web development, streamlined}}
\field{year}{2024}
\verb{urlraw}
\verb https://kit.svelte.dev
\endverb
\verb{url}
\verb https://kit.svelte.dev
\endverb
\endentry
\entry{bycrpt}{article}{}
\name{author}{2}{}{%
{{hash=60b1af3e10b3553c9b4eb4055120912c}{%
family={Provos},
familyi={P\bibinitperiod},
given={Niels},
giveni={N\bibinitperiod}}}%
{{hash=f74609e259322f9c7b6a2c775a7d8e29}{%
family={Mazieres},
familyi={M\bibinitperiod},
given={David},
giveni={D\bibinitperiod}}}%
}
\strng{namehash}{cf7a7a797d9c87cf2ba4c4ca7ff0c17c}
\strng{fullhash}{cf7a7a797d9c87cf2ba4c4ca7ff0c17c}
\strng{bibnamehash}{cf7a7a797d9c87cf2ba4c4ca7ff0c17c}
\strng{authorbibnamehash}{cf7a7a797d9c87cf2ba4c4ca7ff0c17c}
\strng{authornamehash}{cf7a7a797d9c87cf2ba4c4ca7ff0c17c}
\strng{authorfullhash}{cf7a7a797d9c87cf2ba4c4ca7ff0c17c}
\field{sortinit}{3}
\field{sortinithash}{ad6fe7482ffbd7b9f99c9e8b5dccd3d7}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{month}{03}
\field{title}{A Future-Adaptable Password Scheme}
\field{year}{2001}
\endentry
\entry{go}{misc}{}
\field{sortinit}{3}
\field{sortinithash}{ad6fe7482ffbd7b9f99c9e8b5dccd3d7}
\field{labeltitlesource}{title}
\field{month}{11}
\field{note}{[Online; accessed 1. Nov. 2023]}
\field{title}{{The Go Programming Language}}
\field{year}{2023}
\verb{urlraw}
\verb https://go.dev
\endverb
\verb{url}
\verb https://go.dev
\endverb
\endentry
\entry{cifar10}{report}{}
\name{author}{1}{}{%
{{hash=c5e3a676e2ac1164b3afcd539c131fc9}{%
family={Krizhevsky},
familyi={K\bibinitperiod},
given={Alex},
giveni={A\bibinitperiod}}}%
}
\strng{namehash}{c5e3a676e2ac1164b3afcd539c131fc9}
\strng{fullhash}{c5e3a676e2ac1164b3afcd539c131fc9}
\strng{bibnamehash}{c5e3a676e2ac1164b3afcd539c131fc9}
\strng{authorbibnamehash}{c5e3a676e2ac1164b3afcd539c131fc9}
\strng{authornamehash}{c5e3a676e2ac1164b3afcd539c131fc9}
\strng{authorfullhash}{c5e3a676e2ac1164b3afcd539c131fc9}
\field{sortinit}{3}
\field{sortinithash}{ad6fe7482ffbd7b9f99c9e8b5dccd3d7}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Learning multiple layers of features from tiny images}
\field{type}{techreport}
\field{year}{2009}
\endentry
\entry{stl10}{misc}{}
\field{sortinit}{3}
\field{sortinithash}{ad6fe7482ffbd7b9f99c9e8b5dccd3d7}
\field{labeltitlesource}{title}
\field{month}{11}
\field{note}{[Online; accessed 11. May 2024]}
\field{title}{{STL-10 dataset}}
\field{year}{2015}
\verb{urlraw}
\verb https://cs.stanford.edu/~acoates/stl10
\endverb
\verb{url}
\verb https://cs.stanford.edu/~acoates/stl10
\endverb
\endentry
\entry{artbench}{article}{}
\name{author}{4}{}{%
{{hash=7bba0fa6a38a6bcb53161bc627f0e8f0}{%
family={Liao},
familyi={L\bibinitperiod},
given={Peiyuan},
giveni={P\bibinitperiod}}}%
{{hash=bc48cf0ef11559dbf52ea1eeb6a1fe6b}{%
family={Li},
familyi={L\bibinitperiod},
given={Xiuyu},
giveni={X\bibinitperiod}}}%
{{hash=6c9b1bbb5e6bfa9eb298cf2adaf2fe6e}{%
family={Liu},
familyi={L\bibinitperiod},
given={Xihui},
giveni={X\bibinitperiod}}}%
{{hash=994177386e5a63171a7be588e97df7e5}{%
family={Keutzer},
familyi={K\bibinitperiod},
given={Kurt},
giveni={K\bibinitperiod}}}%
}
\strng{namehash}{08a0f45af14d162ba0122f203b8ad810}
\strng{fullhash}{112b6926c6bf43c13d55af2ea8fde5e2}
\strng{bibnamehash}{112b6926c6bf43c13d55af2ea8fde5e2}
\strng{authorbibnamehash}{112b6926c6bf43c13d55af2ea8fde5e2}
\strng{authornamehash}{08a0f45af14d162ba0122f203b8ad810}
\strng{authorfullhash}{112b6926c6bf43c13d55af2ea8fde5e2}
\field{sortinit}{3}
\field{sortinithash}{ad6fe7482ffbd7b9f99c9e8b5dccd3d7}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{journaltitle}{arXiv preprint arXiv:2206.11404}
\field{title}{The ArtBench Dataset: Benchmarking Generative Models with Artworks}
\field{year}{2022}
\endentry
\entry{caltech256}{misc}{}
\name{author}{3}{}{%
{{hash=0c276668bd6739ab142e84d4de9000da}{%
family={Griffin},
familyi={G\bibinitperiod},
given={Gregory},
giveni={G\bibinitperiod}}}%
{{hash=9f4b2bda38961146065556b1d28f38ab}{%
family={Holub},
familyi={H\bibinitperiod},
given={Alex},
giveni={A\bibinitperiod}}}%
{{hash=e52876f830a8a20786ff3e4d7dd6f083}{%
family={Perona},
familyi={P\bibinitperiod},
given={Pietro},
giveni={P\bibinitperiod}}}%
}
\list{publisher}{1}{%
{CaltechDATA}%
}
\strng{namehash}{5983e22273ff6957ba259a0f7d1141bc}
\strng{fullhash}{1b5a4898a33fca8d61b05ac9d9fd8c0a}
\strng{bibnamehash}{1b5a4898a33fca8d61b05ac9d9fd8c0a}
\strng{authorbibnamehash}{1b5a4898a33fca8d61b05ac9d9fd8c0a}
\strng{authornamehash}{5983e22273ff6957ba259a0f7d1141bc}
\strng{authorfullhash}{1b5a4898a33fca8d61b05ac9d9fd8c0a}
\field{sortinit}{4}
\field{sortinithash}{9381316451d1b9788675a07e972a12a7}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{month}{4}
\field{title}{Caltech 256}
\field{year}{2022}
\verb{doi}
\verb 10.22002/D1.20087
\endverb
\endentry
\entry{fgvca}{report}{}
\name{author}{5}{}{%
{{hash=b1fb544937854da3ec8ec4f8109e846d}{%
family={Maji},
familyi={M\bibinitperiod},
given={S.},
giveni={S\bibinitperiod}}}%
{{hash=66af1ecffa9fdc06f0e4ac2c3f2e4124}{%
family={Kannala},
familyi={K\bibinitperiod},
given={J.},
giveni={J\bibinitperiod}}}%
{{hash=912e9620e6b1bb780e26082faac6a619}{%
family={Rahtu},
familyi={R\bibinitperiod},
given={E.},
giveni={E\bibinitperiod}}}%
{{hash=7b37b33590b6ced45c1ce1cddab2ef7a}{%
family={Blaschko},
familyi={B\bibinitperiod},
given={M.},
giveni={M\bibinitperiod}}}%
{{hash=0ec8712a7d032edd8ddc33c250c0784f}{%
family={Vedaldi},
familyi={V\bibinitperiod},
given={A.},
giveni={A\bibinitperiod}}}%
}
\strng{namehash}{4734aac49e2aa46b278616fcc2d66280}
\strng{fullhash}{4929dc1922cbfb934b74d90436a4ded6}
\strng{bibnamehash}{4929dc1922cbfb934b74d90436a4ded6}
\strng{authorbibnamehash}{4929dc1922cbfb934b74d90436a4ded6}
\strng{authornamehash}{4734aac49e2aa46b278616fcc2d66280}
\strng{authorfullhash}{4929dc1922cbfb934b74d90436a4ded6}
\field{sortinit}{4}
\field{sortinithash}{9381316451d1b9788675a07e972a12a7}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{eprintclass}{cs-cv}
\field{eprinttype}{arXiv}
\field{title}{Fine-Grained Visual Classification of Aircraft}
\field{type}{techreport}
\field{year}{2013}
\verb{eprint}
\verb 1306.5151
\endverb
\endentry
\entry{fooddataset}{article}{}
\name{author}{5}{}{%
{{hash=9745e23b5afda022dab01c159a454bb2}{%
family={Kaur},
familyi={K\bibinitperiod},
given={Parneet},
giveni={P\bibinitperiod}}}%
{{hash=5582bf1be9db7a164fe4a89365a4420b}{%
family={Sikka},
familyi={S\bibinitperiod},
given={Karan},
giveni={K\bibinitperiod}}}%
{{hash=47ad65c82b1de7d642988df185d7d8ea}{%
family={Wang},
familyi={W\bibinitperiod},
given={Weijun},
giveni={W\bibinitperiod}}}%
{{hash=4d59c02623535d66620842635043b3b7}{%
family={Belongie},
familyi={B\bibinitperiod},
given={serge},
giveni={s\bibinitperiod}}}%
{{hash=2478c221c08a4d32c950a414c383fb08}{%
family={Divakaran},
familyi={D\bibinitperiod},
given={Ajay},
giveni={A\bibinitperiod}}}%
}
\strng{namehash}{9bbebb9e370b0e4d2c8850515561bfbd}
\strng{fullhash}{ee23ed313476a626198320adcc67e276}
\strng{bibnamehash}{ee23ed313476a626198320adcc67e276}
\strng{authorbibnamehash}{ee23ed313476a626198320adcc67e276}
\strng{authornamehash}{9bbebb9e370b0e4d2c8850515561bfbd}
\strng{authorfullhash}{ee23ed313476a626198320adcc67e276}
\field{sortinit}{4}
\field{sortinithash}{9381316451d1b9788675a07e972a12a7}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{journaltitle}{arXiv preprint arXiv:1907.06167}
\field{title}{{FoodX-251: A Dataset for Fine-grained Food Classification}}
\field{year}{2019}
\endentry
\enddatalist
\endrefsection
\endinput