Grad-CAM for AlexNet to explain the reason of classification

버전 1.0.1 (8.49 MB) 작성자: Takuji Fukumoto
Grad-CAM for visual explanation with re-trained AlexNet
다운로드 수: 302
업데이트 날짜: 2020/12/25

Class Activation Mapping(CAM) is a good method to explain why the model classify the object as that.
https://jp.mathworks.com/matlabcentral/fileexchange/69357-class-activation-mapping
But network models which can be applied for CAM are limited.
Grad-CAM is the method to generalize CAM to work with many kinds of networks.

Through this demo, you can learn workflow from retraining model(AlexNet) to applying Grad-CAM on it.

[Japanese]
CNNを用いたディープラーニングによる分類の判定精度は非常に高く、多くの領域での画像自動判定に利用されています。一方で、内部がブラックボックスで「なぜその判定になったのかわからない」点に不安を感じる方もいます。Class Activation Mapping(CAM)は判定要因の可視化に非常に便利ですが、適用できるネットワークに制限があります。

Grad-CAMはGradietを利用して任意のネットワーク・層でCAMを一般化した方法です。
このサンプルでAlexNetでの転移学習からGrad-CAMの適用までのコードを確認できます。

[Keyword]
画像処理・IPCVデモ・ディープラーニング・深層学習・転移学習・入門・物体認識・画像分類・コンピュータビジョン・ニューラルネットワーク・人工知能・外観検査・可視化

Paper:
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization.
Ramprasaath R. Selvaraju, etc
https://arxiv.org/abs/1610.02391

인용 양식

Takuji Fukumoto (2024). Grad-CAM for AlexNet to explain the reason of classification (https://github.com/mathworks/Grad-CAM-for-AlexNet-to-explain-the-reason-of-classification/releases/tag/1.0.1), GitHub. 검색됨 .

MATLAB 릴리스 호환 정보
개발 환경: R2019b
R2019b 이상 릴리스와 호환
플랫폼 호환성
Windows macOS Linux
카테고리
Help CenterMATLAB Answers에서 Image Data Workflows에 대해 자세히 알아보기

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
버전 게시됨 릴리스 정보
1.0.1

See release notes for this release on GitHub: https://github.com/mathworks/Grad-CAM-for-AlexNet-to-explain-the-reason-of-classification/releases/tag/1.0.1

1.0.0

이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.