% $ 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