blackfeather-wang ISDA-for-Deep-Networks issues

blackfeather-wang / ISDA-for-Deep-Networks

An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.

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Question about changing datasets

#35 vivien319 closed 7 months ago
0
confused about where the augmentation is done

#34 sungmin9939 closed 11 months ago
1
augmentation features or logits?

#33 Bunnyqiqi closed 1 year ago
1
Questions about ISDA for ImageNet

#32 JamenceTom closed 1 year ago
2
what if replace last fc with conv in segmentation task

#31 godlin-xdu opened 2 years ago
0
Releasing CIFAR visualization code

#30 jmamath opened 3 years ago
0
Question about ISDA implementation in object detection

#29 ghost opened 3 years ago
0
Questions about visualization on other datasets

#28 weilli opened 3 years ago
0
RuntimeError: copy_if failed to synchronize: device-side assert triggered

#27 lihuikenny opened 3 years ago
1
Question about the effect of ISDA on shallow layers of the network

#26 anonymousgit873 opened 3 years ago
0
code for semi-supervised learning setting?

#25 xuChenSJTU opened 3 years ago
0
Question about loss computation

#24 Phoebe-ovo closed 1 year ago
3
image classification has this error，can you help me ?

#23 gongweijun closed 3 years ago
1
How to visualize augmented data

#22 Ciao-Z closed 3 years ago
1
how to search the hyper-parameter lamda0

#21 weihua04 closed 1 year ago
1
long-tailed problem

#20 AaboutL closed 3 years ago
1
Is it applicable to one stage object detectors(yolo)?

#19 cszer closed 1 year ago
1
Confusion about the code

#18 dengfenglai321 closed 3 years ago
1
What's the difference between cifar-ISDA and imagenet-ISDA

#17 dengfenglai321 closed 3 years ago
0
Do we need to augment the label data as well?

#16 AndyChang666 closed 2 years ago
7
Are means and coVariances shared by all gpus when using DDP?

#15 kuz44ma69 closed 3 years ago
2
About the covariance matrix

#14 peterzpy closed 3 years ago
2
dose it

#13 ghost closed 3 years ago
2
Implementation of the new loss

#12 chaoyan1037 closed 3 years ago
2
Code for reconstructing images from augmented samples in feature space

#11 mhk257 closed 3 years ago
4
isda loss segmentation code

#10 sumenpuyuan closed 3 years ago
7
If fc can only be nn.Linear rather nn.Conv2d?

#9 xiong224 closed 3 years ago
2
Why average feature update process apply same weight to the old feature and new feature

#8 SupetZYK closed 3 years ago
1
question about equation 7 in the paper

#7 CoinCheung closed 3 years ago
2
How does it explain in segmentation?

#6 Harryoung closed 2 years ago
5
How does ISDA work？

#5 hheavenknowss closed 3 years ago
3
Performance improvements on ImageNet

#4 JamesHao-ml closed 4 years ago
2
Can you share the code of Appendix C if convenient

#3 zhangzj2114 closed 4 years ago
2
RuntimeError: size mismatch

#2 etetteh closed 4 years ago
2
Understanding number of features?

#1 eric-tc closed 4 years ago
2