Semantic Segmentation on Real-world
0.5955DiceLighTDiff
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LighTDiff2024.05 | 0.5955 | 0.4457 | |
| StillGan2024.05 | 0.5914 | 0.443 | |
| SNR-Aware2024.05 | 0.5887 | 0.4435 | |
| MIRNetv22024.05 | 0.5812 | 0.4364 | |
| MIRNet2024.05 | 0.5799 | 0.4298 | |
| LLCaps2024.05 | 0.5734 | 0.429 | |
| CLEDiff2024.05 | 0.5662 | 0.4191 | |
| DiffLL2024.05 | 0.5661 | 0.4173 | |
| ControlNet2024.05 | 0.5534 | 0.4023 | |
| DUAL2024.05 | 0.5462 | 0.4045 | |
| PyDiff2024.05 | 0.5266 | 0.3764 | |
| EnlightenGAN2024.05 | 0.4914 | 0.3562 | |
| LIME2024.05 | 0.4879 | 0.3529 | |
| Zero-DCE2024.05 | 0.2292 | 0.1417 |