Rgb Salient Object Detection On Uhrsd

Metrics

MAE

S-Measure

mBA

max F-Measure

Results

Performance results of various models on this benchmark

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

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Rgb Salient Object Detection On Uhrsd | SOTA | HyperAI