Rgb D Salient Object Detection On Des

المقاييس

Average MAE

S-Measure

max E-Measure

max F-Measure

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

					Paper Title
CPFP	0.038	87.2	92.3	84.6	Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection
DASNet	0.023	90.8	-	92.8	Is Depth Really Necessary for Salient Object Detection?
JL-DCF	0.022	92.9	96.8	91.9	JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection
BBS-Net	0.021	93.3	96.6	92.7	Bifurcated backbone strategy for RGB-D salient object detection
BiANet	0.021	93.1	97.1	92.6	Bilateral Attention Network for RGB-D Salient Object Detection
JL-DCF*	0.021	93.6	97.5	92.9	Siamese Network for RGB-D Salient Object Detection and Beyond
UC-Net	0.019	93.4	-	-	UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders
CoLANet	0.018	93.5	96.3	92.5	CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object Detection
BTS-Net	0.018	94.3	97.9	94.0	BTS-Net: Bi-directional Transfer-and-Selection Network For RGB-D Salient Object Detection
SPSN	0.016	93.8	97.6	94.3	SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection
UCNet-ABP	0.016	94.0	-	-	Uncertainty Inspired RGB-D Saliency Detection
UCNet-CVAE	0.016	93.7	-	-	Uncertainty Inspired RGB-D Saliency Detection
DFormer-L	0.013	94.8	98.0	95.6	DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation

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Rgb D Salient Object Detection On Des | SOTA | HyperAI