XAI Evaluation on ImageNet-1k-mini
0.0287Area Metricrex
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| rexbackbone=ConvNeXt2024.11 | 0.0287 | 0.0236 | 0.8788 | 0.3487 | |
| Grad-CAMbackbone=ConvNeXt2024.11 | 0.0337 | 0.0553 | 0.8613 | 0.4413 | |
| limebackbone=ConvNeXt2024.11 | 0.0493 | 0.0707 | 0.8228 | 0.4747 | |
| risebackbone=ConvNeXt2024.11 | 0.0615 | 0.084 | 0.8058 | 0.5136 | |
| noisetunnelbackbone=ConvNeXt2024.11 | 0.1116 | 0.1608 | 0.7682 | 0.1886 | |
| GradientShapbackbone=ConvNeXt2024.11 | 0.1394 | 0.183 | 0.706 | 0.1678 | |
| igbackbone=ConvNeXt2024.11 | 0.3414 | 0.2168 | 0.4993 | 0.3471 | |
| KernelShapbackbone=ConvNeXt2024.11 | 0.4357 | 0.2855 | 0.4042 | 0.4061 |