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Can we do better than Convolutional Neural Networks?

bknyaz.github.io · published 30 September 2019

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https://scholar.google.com/citations?view_op=top_venues&hl=en&vq=eng_computervisionpatternrecognition
scholar.google.com
https://bmvc2019.org/wp-content/uploads/papers/1186-paper.pdf
bmvc2019.org
https://www.sri.com/
sri.com
https://filebox.ece.vt.edu/~linxiao/
filebox.ece.vt.edu
http://host.robots.ox.ac.uk/pascal/VOC/voc2012/
host.robots.ox.ac.uk
https://github.com/bknyaz/bmvc_2019
github.com
https://arxiv.org/abs/1903.12261
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https://arxiv.org/abs/1907.07484
arxiv.org
https://arxiv.org/abs/1905.03711
arxiv.org
https://bmvc2019.org/wp-content/uploads/papers/0555-paper.pdf
bmvc2019.org
A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features' Read at the source ↗
distill.pub
https://arxiv.org/abs/1703.00356
arxiv.org
https://arxiv.org/abs/1602.07576
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https://scikit-image.org/docs/dev/api/skimage.segmentation.html
scikit-image.org
https://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14445
aaai.org
https://medium.com/@BorisAKnyazev/tutorial-on-graph-neural-networks-for-computer-vision-and-beyond-part-1-3d9fada3b80d
medium.com
https://github.com/bknyaz/bmvc_2019/blob/master/bmvc_2019.ipynb
github.com
https://towardsdatascience.com/tutorial-on-graph-neural-networks-for-computer-vision-and-beyond-part-2-be6d71d70f49
towardsdatascience.com
https://arxiv.org/abs/1811.09595
arxiv.org
https://arxiv.org/abs/1803.09374
arxiv.org
https://medium.com/u/24cd20b3728e
medium.com
https://github.com/rusty1s/embedded_gcnn
github.com
https://medium.com/data-science/can-we-do-better-than-convolutional-neural-networks-46ed90fed807
medium.com
https://medium.com/data-science
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