Unsupervised Saliency Detection On Ecssd
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 |
|---|---|---|---|---|---|
| SelfMask | 95.5 | 81.8 | 95.6 | Unsupervised Salient Object Detection with Spectral Cluster Voting | - |
| MOVE | 95.6 | 83.6 | 92.1 | MOVE: Unsupervised Movable Object Segmentation and Detection | - |
| TokenCut | 93.4 | 77.2 | 87.4 | Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut | - |
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