Comments (2)
Numerical Stability. To avoid degenerate case of det(mat)=0 thereby resulting in a log(0) scenario.
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Very sorry for the huge delay. Yes, @dbp1994 gets the point. We add the small pertubation to avoid the det(mat)=0 case.
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Related Issues (16)
- clothing1M HOT 4
- It seems that this new loss can also be used for clean data? HOT 1
- Why bad performance without model pre-training? HOT 1
- Can this loss can be use for multi label classification?
- DMI_loss HOT 2
- Error in fashion.py
- new datasets/ noisy instances HOT 1
- 您好,如何才能具有访问链接的权限? HOT 5
- Help on running L_DMI HOT 3
- For Clothing1M dataset, how many GPU memory are needed? HOT 2
- Negative loss values HOT 3
- Confusion Matrix HOT 1
- Negative Loss Values and a Strange Issue HOT 1
- det() always equals 0 when the number of categories is much larger than batch size, e.g., 700 classes v.s. 64 batch. HOT 1
- Clothing1M数据集下载 HOT 3
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