Comments (3)
No. I don't have enough computational power to do this.
from deformable-convolution-pytorch.
Have you measure it? @mgalkov , In my experiment I found it has little effect because it can only learn the offset near the 0.
from deformable-convolution-pytorch.
@lshiwjx Me too.. I trained faster_rcnn on VOC 07+12 dataset, using ResNet50 with dcn in stage 5. I found that the offsets it learned during training are too small, usually 1e-2~1e-3.. It seems like the offset does not play any role.
But when training the classification network, offsets become too big. Almost all values added with offsets are out of the boundary..
from deformable-convolution-pytorch.
Related Issues (20)
- 梯度测试不通过 HOT 21
- Extend this to 1-D HOT 8
- performance issue HOT 4
- How do you embed this module into a structure? HOT 3
- Slow speed HOT 2
- Get the offset_grad
- Build error HOT 4
- Not working on pytorch 0.4.1 HOT 3
- Error occurred
- Different interpretation of def_conv: HOT 1
- offset size
- Problem in test.py
- offset number? HOT 1
- License
- make.sh error
- Is it useful to use dcn on 1x1conv?
- test error ! HOT 4
- Is it possible that this version can be realized by Tensorflow? HOT 1
- Is it possible to support 3D convolution? HOT 8
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from deformable-convolution-pytorch.