JosieHong / Multi-dilated_CAM

A personal implement of CAM(class activation mapping) part of CVPR 2018 Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Sematic Segmentation.

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Multi-dilated_CAM

A personal implement of CAM(class activation mapping) part of CVPR 2018 Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Sematic Segmentation.

LeNet/VGG16+GAP+CAM on CIFAR10.

Not finished yet...

Requirment

  • python 3.6.8
  • pytorch 1.0.1
  • cudnn 7.6.0
  • numpy 1.16.4

Run

python main.py

If you want to use the version of the GPU, please modify the code at the comment 'GPU'.

Results

The first line is the results of training 1/200 epoch, and the second line is the results of training 21/200 epoch.

out

About

A personal implement of CAM(class activation mapping) part of CVPR 2018 Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Sematic Segmentation.


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