DeLightCMU RSC issues - Githubissues

DeLightCMU / RSC

This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020

BSD 2-Clause "Simplified" License

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Application of the method on regression problems

#22 Huage001 opened 2 years ago
6
Code breaks at epoch 40

#21 Yussef93 opened 3 years ago
2
Alexnet not available

#20 Yussef93 opened 3 years ago
1
Question about the spatial-wise RSC implementation

#19 AhmedFrikha closed 3 years ago
1
Choice of datapoints to which RSC is applied

#18 AhmedFrikha closed 3 years ago
2
Where is the caffenet.py file?

#17 GuardSkill closed 3 years ago
1
Performance without pre-processing transforms.ColorJitter

#16 rshaojimmy opened 3 years ago
1
Questions about the implementation.

#15 ZerojumpLine closed 3 years ago
3
Experimental results in paper

#14 VuongLong opened 3 years ago
4
Random seeds value

#13 hamanhbui closed 3 years ago
5
Non-Reproducible Results

#12 SirRob1997 closed 3 years ago
2
Why not use cross entropy for determining which features to mask?

#11 BrianPugh opened 3 years ago
1
Question about the batch part

#10 SirRob1997 closed 3 years ago
1
Confusing naming conventions

#9 SirRob1997 closed 3 years ago
1
Alexnet issue

#8 talhazaidi13 closed 3 years ago
2
Why not choose the grad of x_new_4 directly for spatial _mean?

#7 gkyustc closed 3 years ago
2
JigsawNewDataset Class error

#6 talhazaidi13 closed 3 years ago
3
cannot reproduce results on PACS

#5 Johnzhangt closed 3 years ago
2
Reasoning & Effects for batch part in the forward pass of resnet.py

#4 SirRob1997 closed 3 years ago
0
Question about the spatial-wise RSC

#3 YijinHuang closed 3 years ago
2
The result record in train.py has two items.

#2 BurningFr closed 3 years ago
6
torch.gt return BoolType value from 1.2.0

#1 JasonDoingGreat closed 3 years ago
5