Salient Object Detection On Duts Te

评估指标

MAE

S-Measure

max F-measure

mean E-Measure

mean F-Measure

评测结果

各个模型在此基准测试上的表现结果

模型名称	MAE	S-Measure	max F-measure	mean E-Measure	mean F-Measure	Paper Title	Repository
DGRL	0.049	0.846	0.828	0.887	0.790	Detect Globally, Refine Locally: A Novel Approach to Saliency Detection	-
BiRefNet (DUTS, UHRSD)	0.018	0.942	0.942	0.961	0.925	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
CFDN	0.048	0.871	0.859	-	-	Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss	-
M3Net-R	0.036	0.897	-	-	-	M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection
Amulet	0.075	-	0.773	-	-	Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection
C4Net	0.029	-	-	0.937	0.886	C$^{4}$Net: Contextual Compression and Complementary Combination Network for Salient Object Detection	-
PiCANet	0.050	0.842	0.863	0.853	0.757	PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection
DHS	0.065	-	0.815	-	-	DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection	-
UCNet-CVAE	0.034	0.888	-	0.927	0.860	Uncertainty Inspired RGB-D Saliency Detection
CPDR-L	0.034	-	-	0.931	0.853	CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement	-
MSR	0.062	-	0.824	-	-	Instance-Level Salient Object Segmentation	-
M3Net-S	0.024	0.927	-	-	-	M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection
BiRefNet (DUTS)	0.019	0.939	0.937	0.958	0.919	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
TRACER-TE7	0.022	0.919	0.932	-	0.904	TRACER: Extreme Attention Guided Salient Object Tracing Network
BiRefNet (DUTS, HRSOD, UHRSD)	0.018	0.944	0.943	0.962	0.925	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
DSS	0.065	-	0.813	-	-	Deeply supervised salient object detection with short connections
BiRefNet (DUTS, HRSOD)	0.018	0.938	0.935	0.960	0.923	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
UCNet-ABP	0.034	0.890	-	0.931	0.864	Uncertainty Inspired RGB-D Saliency Detection
NLDF	0.065	-	0.816	-	-	Non-Local Deep Features for Salient Object Detection	-
SRM	0.058	-	0.826	-	-	A Stagewise Refinement Model for Detecting Salient Objects in Images	-

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