oeway pytorch-deform-conv issues

oeway / pytorch-deform-conv

PyTorch implementation of Deformable Convolution

MIT License

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issues

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How to get the sampling points?

#24 kirkzZ opened 3 years ago
0
Offset BUG

#23 JunrQ opened 3 years ago
1
The deform-conv layers reduce the detection accuracy

#22 BearManlc opened 4 years ago
0
only for test, cannot be used for training

#21 xjjs opened 5 years ago
0
Fixed

#20 etmwb closed 5 years ago
0
Weighting in deformed kernel

#19 mbcel opened 5 years ago
0
Why only fine tuning on deformable convnet

#18 Esaada closed 5 years ago
1
Confusion about the shape of offset

#17 ChiWeiHsiao opened 5 years ago
7
about the implementation.. view instead of permute ?

#16 chenchr opened 6 years ago
5
A re-train normal CNN on scaled data beats deform-conv.

#15 KaiOtter opened 6 years ago
3
What is the size of the offset？

#14 guoswang closed 5 years ago
3
Offset output channel

#13 zhujiagang closed 6 years ago
1
Gif image visualization

#12 bkvie opened 6 years ago
6
Input image w!=h

#11 wangchust opened 6 years ago
5
Question about implementation

#10 lxtGH opened 6 years ago
1
Deformable Pooling is not included

#9 calx-git opened 6 years ago
1
Process finished with exit code 139 (interrupted by signal 11: SIGSEGV)

#8 felixysz closed 6 years ago
1
related to TF_version #4

#7 AceCoooool closed 6 years ago
0
related to TF_version #4

#6 AceCoooool closed 6 years ago
0
related to TF_version #4

#5 AceCoooool opened 6 years ago
0
GPU mode is not available !

#4 shwoo93 closed 6 years ago
3
support different H*W

#3 rouniuyizu opened 7 years ago
0
How about the time consumption with respect to regular convolution

#2 githubfragments opened 7 years ago
0
indexing with a detached variable

#1 ncullen93 closed 6 years ago
1