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Rgb Salient Object Detection On Uhrsd

Métriques

MAE

S-Measure

mBA

max F-Measure

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	MAE	S-Measure	mBA	max F-Measure	Paper Title	Repository
InSPyReNet (HRSOD, UHRSD)	0.020	0.953	0.812	0.957	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
BiRefNet (HRSOD, UHRSD)	0.019	0.952	-	0.958	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
PDFNet (HRSOD, UHRSD)	0.019	0.953	-	0.963	Patch-Depth Fusion: Dichotomous Image Segmentation via Fine-Grained Patch Strategy and Depth Integrity-Prior
PGNet (DUTS, HRSOD)	0.036	0.912	0.735	0.915	Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
BiRefNet (DUTS, UHRSD)	0.019	0.952	-	0.960	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
InSPyReNet (DUTS, HRSOD)	-	0.936	0.785	-	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
InSPyReNet	0.029	0.932	0.741	0.938	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
PGNet (HRSOD, UHRSD)	0.026	0.935	0.765	0.930	Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
BiRefNet (DUTS, HRSOD)	0.024	0.937	-	0.942	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
BiRefNet (DUTS, HRSOD, UHRSD)	0.016	0.957	-	0.963	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
BiRefNet (DUTS)	0.030	0.931	-	0.933	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
PGNet	0.037	0.912	0.715	0.914	Pyramid Grafting Network for One-Stage High Resolution Saliency Detection

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