Rgb D Salient Object Detection On Nju2K

Metrics

Average MAE

S-Measure

max E-Measure

max F-Measure

Results

Performance results of various models on this benchmark

Model Name	Average MAE	S-Measure	max E-Measure	max F-Measure	Paper Title	Repository
PCF	0.059	87.7	92.4	87.2	Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object Detection
S2MA	0.053	89.4	92.7	88.9	Learning Selective Self-Mutual Attention for RGB-D Saliency Detection
CoLANet	0.029	93.4	94.7	91.3	CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object Detection
CAS-GNN	0.035	91.1	-	-	Cascade Graph Neural Networks for RGB-D Salient Object Detection
D3Net	0.046	90.0	93.9	90.0	Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks
CMWNet	0.046	90.3	-	-	Cross-Modal Weighting Network for RGB-D Salient Object Detection
UCNet-CVAE	0.039	90.2	-	-	Uncertainty Inspired RGB-D Saliency Detection
JL-DCF*	0.040	91.1	94.8	91.3	Siamese Network for RGB-D Salient Object Detection and Beyond
UC-Net	0.043	89.7	-	-	UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders
CMMS	0.044	90.4	-	-	RGB-D Salient Object Detection with Cross-Modality Modulation and Selection
BiANet	0.039	91.5	94.8	92.0	Bilateral Attention Network for RGB-D Salient Object Detection
SPSN	0.032	91.8	95.0	92.0	SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection
LBE	0.153	69.5	80.3	74.8	Local Background Enclosure for RGB-D Salient Object Detection	-
HDFNet	0.037	91.1	-	-	Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection
CPFP	0.053	87.8	92.6	87.7	Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection
BTS-Net	0.036	92.1	95.4	92.4	BTS-Net: Bi-directional Transfer-and-Selection Network For RGB-D Salient Object Detection
LHM	0.205	51.4	72.4	63.2	RGBD Salient Object Detection via Deep Fusion	-
SSF	0.043	89.9	-	-	Select, Supplement and Focus for RGB-D Saliency Detection
UCNet-ABP	0.039	90.0	-	-	Uncertainty Inspired RGB-D Saliency Detection
DASNet	0.042	90.2	-	91.1	Is Depth Really Necessary for Salient Object Detection?

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