Comments (4)
@kriskrisliu In dyhead.py from line 79-82, you can observe all three attentions being used. I think the difference is that they are first applying spatial attention using deformable convolutions and then level attention using hard sigmoid followed by task attention through DyReLU. But it is confusing to understand because they are doing this for each level in the pyramid (in for loop).
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i also find the scale-aware,can you tell me where is it? thank you.
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I can not find it too!
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尺度的实现能找到,空间的实现 就是用了可变形卷积得到offset,但是 任务级别的实现没找到代码啊!
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Related Issues (20)
- Why the model is smaller than the baseline when #blocks = 1
- Did not see the Spatial-aware Attention πs and Task-aware Attention πC in the code! HOT 1
- Is pi_s and pi_l in reversed order? HOT 1
- Model train execution fails with a PyTorch error message. HOT 10
- about 60.6mAP model
- No detected instances HOT 3
- python -m pip install -e DynamicHead HOT 6
- MaskRCNN + DynamicHead
- TypeError: add(): argument 'alpha' must be Number, not NoneType HOT 1
- does the deformable conv is important?
- Could you please give out a dockerfile to set up the environment? HOT 1
- cuda11.1 train fail?
- cuda 11.1 fail? HOT 2
- DynamicHead/dyhead/_C.cpython-38-x86_64-linux-gnu.so: undefined symbol: _ZN6caffe28TypeMeta21_typeMetaDataInstanceIdEEPKNS_6detail12TypeMetaDataEv
- train Dynamichead
- ModuleNotFoundError: No module named 'dyhead._C' HOT 2
- lass
- 这个仓库还有人在维护吗?
- This repo is missing important files HOT 1
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