Unsupervised Saliency Detection On Ecssd
المقاييس
Accuracy
IoU
maximal F-measure
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
| Paper Title | ||||
|---|---|---|---|---|
| MOVE | 95.6 | 83.6 | 92.1 | MOVE: Unsupervised Movable Object Segmentation and Detection |
| SelfMask | 95.5 | 81.8 | 95.6 | Unsupervised Salient Object Detection with Spectral Cluster Voting |
| TokenCut | 93.4 | 77.2 | 87.4 | Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut |
0 of 3 row(s) selected.