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Rgb Salient Object Detection On Davis S

評価指標

F-measure

MAE

S-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

				Paper Title
BiRefNet (HRSOD, UHRSD)	0.980	0.006	0.976	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
BiRefNet (DUTS, HRSOD, UHRSD)	0.979	0.006	0.975	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
BiRefNet (DUTS, UHRSD)	0.977	0.006	0.975	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
BiRefNet (DUTS, HRSOD)	0.976	0.006	0.973	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
InSPyReNet (DUTS, HRSOD)	0.976	-	0.972	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
BiRefNet (DUTS)	0.966	0.008	0.967	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
InSPyReNet	0.959	0.009	0.962	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
PGNet (HRSOD, UHRSD)	0.956	0.010	0.954	Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
PGNet (DUTS, HRSOD)	0.948	0.012	0.947	Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
Tang et al.	0.935	0.012	0.920	Disentangled High Quality Salient Object Detection
PGNet	0.931	0.015	0.935	Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
Zeng et al. (HRSOD)	0.889	0.026	0.876	Towards High-Resolution Salient Object Detection

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Rgb Salient Object Detection On Davis S | SOTA | HyperAI超神経