Unsupervised Saliency Detection On Dut Omron
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 | 91.9 | 65.5 | 85.2 | Unsupervised Salient Object Detection with Spectral Cluster Voting | |
| TokenCut | 89.7 | 61.8 | 69.7 | Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut | |
| MOVE | 93.7 | 66.6 | 76.6 | MOVE: Unsupervised Movable Object Segmentation and Detection |
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