Comments (2)
Hello nlgranger,
We design an imbalanced framework and only compute classification loss with one stream of data, so we have one FC layer to compute attention maps.
Obviously, you can also use another FC layer to compute classification loss with the other stream of data, forming two imbalanced framework. I think it's an interesting idea to investigate the interaction with the two streams.
from erasing-attention-consistency.
All right, thank you.
from erasing-attention-consistency.
Related Issues (20)
- About the pre-trained models HOT 2
- Memory leak HOT 1
- Reproduce the performance of the paper on AffectNet and FERPlus HOT 1
- 数据集问题和运行问题
- 你好,作者,能提供一下基础resnet50训练到88.75的代码么?
- log
- Feature visualization HOT 2
- MobileNet pretrained model HOT 4
- help FERplus HOT 1
- Changing backbone to ResNet-18 HOT 2
- Pre-trained model? HOT 1
- Help reproduce rafdb HOT 2
- help reproduce AffectNet and FERplus HOT 2
- FERPlus复现问题
- Visualization of the classification loss values problem HOT 3
- Question about use bias on linear layer
- Hi, about the training HOT 1
- dataset? HOT 2
- AffectNet performance
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from erasing-attention-consistency.