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25 Open 45 Closed
25 Open 45 Closed
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Issues list

CMC for small custom dataset
#72 opened Jun 27, 2022 by HaoliangZhou
Pre-trained model for Video task
#71 opened Jun 7, 2022 by Shankhanil006
1
How can it be used for more than two views datasets?
#70 opened May 3, 2022 by A11en0
Questions about NCEAverage.py
#69 opened Dec 22, 2021 by LourisXu
question about input image
#68 opened Dec 9, 2021 by SkyWalker2099
Protential memory leak when training?
#66 opened Sep 29, 2021 by Redaimao
how to use the pretrained MoCo
#65 opened Apr 27, 2021 by guomanshan
pretrained model of ResNet50v1
#63 opened Feb 3, 2021 by lzyhha
question about shuffle_ids
#61 opened Jan 8, 2021 by Nusselder9
About the training epochs for ImageNet-1K
#59 opened Sep 25, 2020 by allo-rene
mean std value for LAB/YCbCr normalization
#55 opened Jun 29, 2020 by PhilLint
1
Train/Test split when training linear classifier (ImageNet)
#53 opened May 25, 2020 by jnyjxn
3
Question about data augmentation and memory bank
#51 opened Mar 25, 2020 by talshef
Question about NCECriterion. py
#43 opened Feb 25, 2020 by Abyssaledge
3
shuffle-bn has no effect on single-GPU
#39 opened Feb 6, 2020 by sorenrasmussenai
1
Expected values of ins_prob and ins_loss in MoCo when training is working
#38 opened Feb 3, 2020 by nlml
1
Accuracy on ImageNet using Resnet50v1
#37 opened Feb 3, 2020 by semi-supervised-paper
Something went wrong when evaluating the results on ImageNet
#32 opened Jan 20, 2020 by ChongjianGE
1
other available views?
#31 opened Jan 18, 2020 by wqtwjt1996
5
Estimating normalization factor Z
#23 opened Dec 13, 2019 by KaimingHe
7
Why use learning rate 30~50
#18 opened Nov 26, 2019 by IgorSusmelj
3
Is it possible to train CMC by loading pretrained resnet-50 model on ImageNet?
#17 opened Nov 20, 2019 by AbhishekRS4
4
Why AvgPool2d instead of AdaptiveAvgPool2d for ResNet?
#16 opened Nov 19, 2019 by chihyaoma
3
Convention for number of convolutions in AlexNet
#11 opened Sep 4, 2019 by macaodha
2
Code to reproduce NYU RGBD results / input pipeline
#9 opened Aug 9, 2019 by meyerjo
4
ProTip! Exclude everything labeled bug with -label:bug.