Saliency Detection On Dut Omron
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MAE
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | MAE | Paper Title | Repository |
|---|---|---|---|
| LDF(ours) | 0.051 | Label Decoupling Framework for Salient Object Detection | |
| U2-Net+ | 0.06 | U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection | |
| UCF | 0.1203 | Learning Uncertain Convolutional Features for Accurate Saliency Detection | |
| U2-Net | 0.054 | U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection | |
| Pyramid Feature Attention | 0.0414 | Pyramid Feature Attention Network for Saliency detection |
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