| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | |||
| 5 | 6 | 7 | 8 | 9 | 10 | 11 |
| 12 | 13 | 14 | 15 | 16 | 17 | 18 |
| 19 | 20 | 21 | 22 | 23 | 24 | 25 |
| 26 | 27 | 28 | 29 | 30 | 31 |
Tags
- 코딩테스트
- Cam
- grad-cam
- 머신러닝
- Unsupervised learning
- meta-learning
- xai
- Explainable AI
- Machine Learning
- 기계학습
- 인공지능
- 백준
- Class activation map
- GAN
- AI
- Interpretability
- Score-CAM
- Deep learning
- python
- 코딩 테스트
- 시계열 분석
- 설명가능한
- keras
- 메타러닝
- SmoothGrad
- 설명가능한 인공지능
- Artificial Intelligence
- coding test
- cs231n
- 딥러닝
Archives
- Today
- Total
목록Deletion (1)
iMTE
Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis 내용 정리 [XAI-23]
논문 제목: Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis 논문 주소: https://openaccess.thecvf.com/content/CVPR2021W/RCV/html/Poppi_Revisiting_the_Evaluation_of_Class_Activation_Mapping_for_Explainability_A_CVPRW_2021_paper.html CVPR 2021 Open Access Repository Revisiting the Evaluation of Class Activation Mapping for Explainability: A ..
Deep learning study/Explainable AI, 설명가능한 AI
2021. 11. 11. 15:46