DUT-OMRON
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Salient Object Detection | DUT-OMRON | MAE0.032 | 133 | |
| Salient Object Detection | DUT-OMRON (test) | MAE0.04 | 92 | |
| Saliency Detection | DUT-OMRON | F_beta Score0.8557 | 40 | |
| Saliency Detection | DUT-OMRON 29 (test) | IoU67.7 | 38 | |
| Saliency map super-resolution | DUT-OMRON | F-score99.67 | 26 | |
| Salient Object Detection | DUT-OMRON 5168 (test) | maxF_beta82.3 | 22 | |
| Salient Object Detection | DUT-OMRON low-resolution (test) | Fmax82 | 20 | |
| Salient Object Detection | DUT-OMRON 5,168 images (test) | MAE0.051 | 15 | |
| Salient Object Detection | DUT-OMRON 40 (test) | Max F-Measure0.803 | 13 | |
| Unsupervised Saliency Detection | DUT-OMRON (test) | Max F-beta69.7 | 12 | |
| Saliency detection | DUT-OMRON | J-Measure58.2 | 12 | |
| Saliency Detection | DUT-OMRON | mIoU58.62 | 8 | |
| Semantic Segmentation | DUT-OMRON | Accuracy90.3 | 5 | |
| Image Segmentation | DUT-OMRON (test) | Dice90.5 | 5 |
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