Saliency Map Evaluation on MS-COCO (train)
0.0011Mean IAUCGrad-CAM
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Grad-CAMClass Rank=2, Backbone=ResNet50V2, Weights=ImageNet2023.12 | 0.0011 | -0.1749 | 0.0013 | 0.068 | |
| FM-G-CAMClass Rank=2, Backbone=ResNet50V2, Weights=ImageNet2023.12 | 0.0011 | -0.1564 | 0.0013 | 0.0807 | |
| FM-G-CAMClass Rank=1, Backbone=ResNet50V2, Weights=ImageNet2023.12 | 0.0003 | -0.1654 | 0.0004 | 0.0626 | |
| Grad-CAMClass Rank=1, Backbone=ResNet50V2, Weights=ImageNet2023.12 | 0.0003 | -0.1844 | 0.0004 | 0.0563 | |
| FM-G-CAMClass Rank=3, Backbone=ResNet50V2, Weights=ImageNet2023.12 | 0.0003 | -0.2668 | 0.0004 | 0.2074 | |
| Grad-CAMClass Rank=3, Backbone=ResNet50V2, Weights=ImageNet2023.12 | 0.0003 | -0.2785 | 0.0004 | 0.1961 | |
| FM-G-CAMClass Rank=5, Backbone=ResNet50V2, Weights=ImageNet2023.12 | 0.0003 | -0.245 | 0.0003 | 0.1657 | |
| Grad-CAMClass Rank=5, Backbone=ResNet50V2, Weights=ImageNet2023.12 | 0.0003 | -0.2696 | 0.0003 | 0.1519 | |
| FM-G-CAMClass Rank=4, Backbone=ResNet50V2, Weights=ImageNet2023.12 | 0.0003 | -0.2607 | 0.0003 | 0.1853 | |
| Grad-CAMClass Rank=4, Backbone=ResNet50V2, Weights=ImageNet2023.12 | 0.0003 | -0.2754 | 0.0003 | 0.1612 |