https://github.com/capsule2077/cam-visualization
可视化技术——CAM
Science Score: 10.0%
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (1.6%) to scientific vocabulary
Last synced: 10 months ago
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Repository
可视化技术——CAM
Basic Info
- Host: GitHub
- Owner: capsule2077
- Language: Python
- Default Branch: main
- Size: 299 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 3 years ago
· Last pushed almost 3 years ago
Metadata Files
Readme
README.md
CAM-Visualization
可视化技术——CAM
CAM论文:Learning Deep Features for Discriminative Localization
GAP论文:Network In Network
官方仓库参考: https://github.com/zhoubolei/CAM

说明
原论文的代码比较老了,用的pytorch版本比较旧,所以重写了一遍,用了更新的特征提取方式。
CAM_VGG.py使用了VGG16,修改了原始网络的平均池化层和分类层。使用预训练的权重在MINI-ImageNet数据集上做100分类的微调。MINI-ImageNet数据集可以参考:blog.
只微调全连接层,其余层保持不变。权重文件:VGG16_100.pth,提取码:3v0i
CAM_ResNet.py使用了ResNet18,ResNet本身就是GAP+FC,所以不需要修改网络,直接使用官方的预训练权重即可。
class_label分别包含了100类(label_100.json)和1000类的标签文件(label.json)
Owner
- Name: liulongfei
- Login: capsule2077
- Kind: user
- Location: 广西
- Company: 桂林电子科技大学
- Repositories: 1
- Profile: https://github.com/capsule2077