Computer-Vision-Leaderboard

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I can't see the tables and the the architectures results. 

nour95

- Paper: https://arxiv.org/abs/2003.08983 - Code: https://github.com/jeromerony/dml_cross_entropy 

jeromerony

Incorrect Efficientnets' FLOPs in ImageNet Classification Leaderboard

2

Hi, I think in ImageNet Classification Leaderboard, Efficientnet-B7' FLOPS should be 37G (37B in the paper) instead of 37000G. Same for other versions.

thanhmvu

- Paper : https://arxiv.org/abs/1906.06423 -Code PyTorch : https://github.com/facebookresearch/FixRes

TouvronHugo

- Paper: https://arxiv.org/abs/1906.05990 - Code: https://github.com/CompVis/metric-learning-divide-and-conquer 

kobiso

- Paper: https://arxiv.org/abs/1805.00932 - PyTorch: https://github.com/facebookresearch/WSL-Images 

kobiso

There is a Pytorch link for the EfficientNet, however it appears that it is linked to a Keras implementation at https://github.com/qubvel/efficientnet

jegou

- Paper: https://arxiv.org/abs/1905.12837  

kobiso

- Paper: https://arxiv.org/abs/1812.03443 - MXNet: https://github.com/JunrQ/NAS/tree/master/fbnet - PyTorch: https://github.com/JunrQ/NAS/tree/master/fbnet-pytorch 

kobiso

- Paper: https://arxiv.org/abs/1812.08934 - PyTorch: https://github.com/facebookresearch/mobile-vision 

kobiso