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Rgb Salient Object Detection On Hrsod

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
Zeng et al.	0.030	0.892	0.693	0.892	Towards High-Resolution Salient Object Detection
BiRefNet (DUTS, UHRSD)	0.014	0.959	-	0.958	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
BiRefNet (DUTS, HRSOD)	0.011	0.962	-	0.963	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
BiRefNet (DUTS)	0.014	0.957	-	0.958	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
InSPyReNet (HRSOD, UHRSD)	0.018	0.956	0.771	0.956	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
Tang et al. (HRSOD)	0.022	0.920	0.693	0.915	Disentangled High Quality Salient Object Detection
PGNet (DUTS, HRSOD)	0.020	0.935	0.714	0.929	Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
BiRefNet (HRSOD, UHRSD)	0.016	0.956	-	0.953	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
PGNet	0.021	0.930	0.693	0.922	Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
PGNet (HRSOD, UHRSD)	0.020	0.938	0.727	0.939	Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
InSPyReNet (DUTS, HRSOD)	0.014	0.960	0.766	0.957	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
BiRefNet (DUTS, HRSOD, UHRSD)	0.013	0.962	-	0.961	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
PDFNet (HRSOD,UHRSD)	0.012	0.963	-	0.965	Patch-Depth Fusion: Dichotomous Image Segmentation via Fine-Grained Patch Strategy and Depth Integrity-Prior
InSPyReNet	0.016	0.952	0.738	0.949	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection

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