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@online{google-vision-api,
author ={Google},
title ={Vision {AI} | Google Cloud},
year ={2023},
url ={https://cloud.google.com/vision?hl=en}
}
@misc{amazon-rekognition,
title = {{What Is Amazon Rekognition? (1:42)}},
journal = {Amazon Web Services, Inc},
year = {2023},
month = dec,
note = {[Online; accessed 18. Dec. 2023]},
url = {https://aws.amazon.com/rekognition}
}
@article{lecun1989handwritten,
title={Handwritten digit recognition with a back-propagation network},
author={LeCun, Yann and Boser, Bernhard and Denker, John and Henderson, Donnie and Howard, Richard and Hubbard, Wayne and Jackel, Lawrence},
journal={Advances in neural information processing systems},
volume={2},
year={1989}
}
@article{krizhevsky2012imagenet,
title={Imagenet classification with deep convolutional neural networks},
author={Krizhevsky, Alex and Sutskever, Ilya and Hinton, Geoffrey E},
journal={Advances in neural information processing systems},
volume={25},
year={2012}
}
@article{fukushima1980neocognitron,
title={Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position},
author={Fukushima, Kunihiko},
journal={Biological cybernetics},
volume={36},
number={4},
pages={193--202},
year={1980},
publisher={Springer}
}
@misc{tensorflow2015-whitepaper,
title={ {TensorFlow}: Large-Scale Machine Learning on Heterogeneous Systems},
url={https://www.tensorflow.org/},
note={Software available from tensorflow.org},
author={
Mart\'{i}n~Abadi and
Ashish~Agarwal and
Paul~Barham and
Eugene~Brevdo and
Zhifeng~Chen and
Craig~Citro and
Greg~S.~Corrado and
Andy~Davis and
Jeffrey~Dean and
Matthieu~Devin and
Sanjay~Ghemawat and
Ian~Goodfellow and
Andrew~Harp and
Geoffrey~Irving and
Michael~Isard and
Yangqing Jia and
Rafal~Jozefowicz and
Lukasz~Kaiser and
Manjunath~Kudlur and
Josh~Levenberg and
Dandelion~Man\'{e} and
Rajat~Monga and
Sherry~Moore and
Derek~Murray and
Chris~Olah and
Mike~Schuster and
Jonathon~Shlens and
Benoit~Steiner and
Ilya~Sutskever and
Kunal~Talwar and
Paul~Tucker and
Vincent~Vanhoucke and
Vijay~Vasudevan and
Fernanda~Vi\'{e}gas and
Oriol~Vinyals and
Pete~Warden and
Martin~Wattenberg and
Martin~Wicke and
Yuan~Yu and
Xiaoqiang~Zheng},
year={2015},
}
@misc{chollet2015keras,
title={Keras},
author={Chollet, Fran\c{c}ois and others},
year={2015},
howpublished={\url{https://keras.io}},
}
@misc{htmx,
title = {{{$<$}/{$>$} htmx - high power tools for html}},
year = {2023},
month = nov,
note = {[Online; accessed 1. Nov. 2023]},
url = {https://htmx.org}
}
@misc{go,
title = {{The Go Programming Language}},
year = {2023},
month = nov,
note = {[Online; accessed 1. Nov. 2023]},
url = {https://go.dev}
}
@misc{node-to-go,
title = {{A journey from Node to GoLang}},
year = {2023},
month = nov,
note = {[Online; accessed 5. Nov. 2023]},
url = {https://www.loginradius.com/blog/engineering/a-journey-from-node-to-golang}
}
@misc{amazon-machine-learning,
title = {{An overview of AI and machine learning services from AWS}},
journal = {Amazon Web Services, Inc},
year = {2023},
month = dec,
note = {[Online; accessed 18. Dec. 2023]},
url = {https://aws.amazon.com/machine-learning}
}
@misc{amazon-rekognition-custom-labels,
title = {{What is Amazon Rekognition Custom Labels? - Rekognition}},
year = {2023},
month = dec,
note = {[Online; accessed 18. Dec. 2023]},
url = {https://docs.aws.amazon.com/rekognition/latest/customlabels-dg/what-is.html?pg=ln&sec=ft}
}
@misc{amazon-rekognition-custom-labels-training,
title = {{Training an Amazon Rekognition Custom Labels model - Rekognition}},
year = {2023},
month = dec,
note = {[Online; accessed 18. Dec. 2023]},
url = {https://docs.aws.amazon.com/rekognition/latest/customlabels-dg/training-model.html#tm-console}
}
@misc{google-vision-price-sheet,
title = {{Pricing {$\vert$} Vertex AI Vision {$\vert$} Google Cloud}},
journal = {Google Cloud},
year = {2023},
month = dec,
note = {[Online; accessed 20. Dec. 2023]},
url = {https://cloud.google.com/vision-ai/pricing}
}
@misc{google-vision-product-recognizer-guide,
title = {{Product Recognizer guide}},
year = {2023},
month = dec,
note = {[Online; accessed 20. Dec. 2023]},
url = {https://cloud.google.com/vision-ai/docs/product-recognizer}
}
@article{mnist,
title={The mnist database of handwritten digit images for machine learning research},
author={Deng, Li},
journal={IEEE Signal Processing Magazine},
volume={29},
number={6},
pages={141--142},
year={2012},
publisher={IEEE}
}
@article{mist-high-accuracy,
author = {Sanghyeon An and
Min Jun Lee and
Sanglee Park and
Heerin Yang and
Jungmin So},
title = {An Ensemble of Simple Convolutional Neural Network Models for {MNIST}
Digit Recognition},
journal = {CoRR},
volume = {abs/2008.10400},
year = {2020},
url = {https://arxiv.org/abs/2008.10400},
eprinttype = {arXiv},
eprint = {2008.10400},
timestamp = {Fri, 28 Aug 2020 12:11:44 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2008-10400.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article {lecun-98,
original = "orig/lecun-98.ps.gz",
author = "LeCun, Y. and Bottou, L. and Bengio, Y. and Haffner, P.",
title = "Gradient-Based Learning Applied to Document Recognition",
journal = "Proceedings of the IEEE",
month = "November",
volume = "86",
number = "11",
pages = "2278-2324",
year = 1998
}
@inproceedings{imagenet,
title={Imagenet: A large-scale hierarchical image database},
author={Deng, Jia and Dong, Wei and Socher, Richard and Li, Li-Jia and Li, Kai and Fei-Fei, Li},
booktitle={2009 IEEE conference on computer vision and pattern recognition},
pages={248--255},
year={2009},
organization={Ieee}
}
@article{resnet-152,
author = {Qilong Wang and
Banggu Wu and
Pengfei Zhu and
Peihua Li and
Wangmeng Zuo and
Qinghua Hu},
title = {ECA-Net: Efficient Channel Attention for Deep Convolutional Neural
Networks},
journal = {CoRR},
volume = {abs/1910.03151},
year = {2019},
url = {http://arxiv.org/abs/1910.03151},
eprinttype = {arXiv},
eprint = {1910.03151},
timestamp = {Mon, 04 Dec 2023 21:30:01 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1910-03151.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{efficientnet,
author = {Mingxing Tan and
Quoc V. Le},
title = {EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks},
journal = {CoRR},
volume = {abs/1905.11946},
year = {2019},
url = {http://arxiv.org/abs/1905.11946},
eprinttype = {arXiv},
eprint = {1905.11946},
timestamp = {Mon, 03 Jun 2019 13:42:33 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1905-11946.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}