Unsupervised Saliency Detection On Duts
Metrics
Accuracy
IoU
maximal F-measure
Results
Performance results of various models on this benchmark
Model Name | Accuracy | IoU | maximal F-measure | Paper Title | Repository |
|---|---|---|---|---|---|
| TokenCut | 91.4 | 62.4 | 75.5 | Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut | - |
| MOVE | 95.4 | 72.8 | 82.9 | MOVE: Unsupervised Movable Object Segmentation and Detection | - |
| SelfMask | 93.3 | 66 | 88.2 | Unsupervised Salient Object Detection with Spectral Cluster Voting | - |
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