caojunxu / ac-fpn Goto Github PK
View Code? Open in Web Editor NEWImplement of paper 《Attention-guided Context Feature Pyramid Network for Object Detection》
License: Apache License 2.0
Implement of paper 《Attention-guided Context Feature Pyramid Network for Object Detection》
License: Apache License 2.0
Hello, I would like to ask, can AC-FPN be used in a single-stage target detection network? For example, YOLO V4. If yes, what needs to be modified? Hope you can answer, thank you!
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What did you expect to see?
What did you observe instead?
E.g.:
The command that you ran
PYTHONPATH
environment variable: ?python --version
output: ?Thank you very much for your open source. but I can't find where the AC-FPN code, could you tell me some detail?
我想问一下FPN上的注意力模块在哪里进行了实现,是在FPN.py吗,我在里面似乎没有找关于这些模块的搭建。感谢!
(Delete this line and the text above it.)
What did you expect to see?
What did you observe instead?
E.g.:
The command that you ran
PYTHONPATH
environment variable: ?python --version
output: ?Hi,
I have been trying to reproduce your paper using mmdetection, I refer to this repository and the version of paddlepaddle implemented by others. but when using the 1x learning schedule, the AP performance of Faster R-CNN w/Res50 has not been able to reach 38.5 (baseline is 37.4). I would like to ask, in the implementation of the CEM, what are the differences between it and DenseASPP besides Group Normalization?(I’m sorry I didn’t see the deformable convolution mentioned in the paper. Could you please point me?)
你好,感谢开源ACFPN,有2个问题想请教下
is_upsample
应该一直设置为True?最开始P5和C4融合时,就应该对P5进行降采样(我看backbone部分只修改了dilation,应该没有对C5的分辨率进行修改?)AC-FPN/detectron/modeling/FPN.py
Line 375 in 2e4e0b2
2.论文中的CxAM和CnAM模块中的1x1卷积部分,是否对通道数进行了缩减了呢?nonlocal中是对计算通道数减半,减少了计算量,不知道你是否有意愿开源这两个模块呢?
期待你的回复,多谢!
请问AC-FPN的CEM模块有些类似DenseASPP,但是我看您的论文中并没有引用DenseASPP,这二者结构上或者功能上有什么区别呢?
hi nice work,I am wondering if the detectron implementation use dcn ,the paper mentioned,but i cannot find in fpn.py using dcn,also i cann't find it in the paper's graph too.And I want to ask if the CEM only used in p5?appreciated if you can reply.
Can not find CEM part in detectron/modeling/FPN.py, could you point out where it is?
A proper training steps as well as how to train on custom dataset will be beneficial? Plus a notebook will make the understanding easy
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