文件名称：CSGCNN:“通过区分特定于类的过滤器来训练可解释的卷积神经网络”的代码
文件大小：30KB
文件格式：ZIP
更新时间：2024-06-07 10:26:27
Python
使用特定于类的过滤器来训练可解释的CNN 纸 引用为 @inproceedings{liang2020training, title={Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters}, author={Liang, Haoyu and Ouyang, Zhihao and Zeng, Yuyuan and Su, Hang and He, Zihao and Xia, Shu-Tao and Zhu, Jun and Zhang, Bo}, booktitle={European Conference on Computer Vision}, pages={622--638}, year={2020}, organiza
【文件预览】：
CSGCNN-master
----VOCPart()
--------mutualinfo()
--------train()
--------checkpoints()
--------gradmap()
--------requirements.txt(150B)
--------download.sh(2KB)
--------README.md(5KB)
--------starting.sh(2KB)
--------.gitignore(113B)
--------activmap()
--------VOC()
----README.md(725B)