Unsupervised Saliency Detection On Ecssd
評価指標
Accuracy
IoU
maximal F-measure
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | 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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