Comments (3)
@osivaz61 Yes it can be. It should be just a drop in replacement.
from triplet-attention.
@osivaz61 Yes it can be. It should be just a drop in replacement.
I am sorry but I could not understand what you say exactly.
You tried to apply TA to Effs and finally get drop in performance?
from triplet-attention.
@osivaz61 Your question was whether TA can be used in Efficient Net in place of SE? And the answer is yes. Regarding whether it gets better or worse performance, we didn't do any experiments on Efficient Net to confirm.
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Related Issues (20)
- wandb error HOT 4
- No multiprocessing option HOT 5
- Pre-training weights loading HOT 5
- seems like the params are not used in `TripletAttention`'s definition? HOT 1
- The weights in google drive is demage!!! HOT 2
- The code for HeatMap visualization HOT 1
- load error HOT 3
- 怎么修改能一键替换SE 和CBAM HOT 3
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- torch.cat( (torch.max(x, 1)[0].unsqueeze(1), torch.mean(x, 1).unsqueeze(1)), dim=1 ) HOT 1
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- error HOT 3
- How did you initialize TA weights? HOT 1
- A little question about adding attention to the network HOT 1
- I Have a question HOT 5
- Pretrain weights and experiment set on resnet20,32 HOT 3
- about init
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from triplet-attention.