Branch attention can be seen as a dynamic branch selection mechanism: which to pay attention to, used with a multi-branch structure.
Source: Training Very Deep NetworksPaper | Code | Results | Date | Stars |
---|
Task | Papers | Share |
---|---|---|
Image Classification | 2 | 40.00% |
Multiple Instance Learning | 1 | 20.00% |
Disentanglement | 1 | 20.00% |
Pose Transfer | 1 | 20.00% |
Component | Type |
|
---|---|---|
🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |