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RGB-D Salient Object Detection on STERE

0.938S-measure (Sα)DGSSM
0.893280.904890.91650.92811Apr 18, 2020Apr 30, 2021May 12, 2022May 25, 2023Jun 5, 2024Jun 17, 2025Jun 30, 2026

Evaluation results

MethodLinks
DGSSMParams (M)=44.732026.040.9380.9370.968—————
Samba+Params (M)=59.03, MACs (G)=72.52026.020.9370.9350.963—————
LFNetParams (M)=44.652026.060.9360.9350.964—————
SambaParams (M)=54.94, MACs (G)=71.642026.020.9350.9330.963—————
SambaParams (M)=54.942026.040.9350.9330.963—————
SambaParams (M)=54.942026.060.9350.9330.963—————
VSCode-S24Params (M)=74.72, MACs (G)=93.762026.020.9310.9280.958—————
VSCode-SParams (M)=74.722026.040.9310.9280.958—————
VSCode-SParams (M)=74.722026.060.9310.9280.958—————
HVPNetCategory=Accurate, Params(M)=16.6, FLOPs(G)=11.52026.060.9280.9290.9620.026————
EM-TransCategory=Accurate2026.060.9260.9240.9560.028————
MambaSODCategory=Accurate, Params(M)=78.92026.060.9240.920.9550.031————
MMNetCategory=Accurate, Params(M)=80.0, FLOPs(G)=24.52026.060.9220.9190.9550.035————
HFILNetCategory=Accurate, Params(M)=246.5, FLOPs(G)=242.22026.060.9220.9030.9340.029————
Adaptive Predictor Fusion Network (APF)Backbone=ResNet-101, Method Style=Depth-free, Training Data=NJUD + NLPR2023.030.9210.9230.9370.031————
Adaptive Predictor Fusion Network (APF)Backbone=ResNet-101, Method Style=Depth-free, Training Data=DUT-RGBD + NJUD + NLPR2023.030.9210.9250.9380.031————
VST-S++24Params (M)=143.15, MACs (G)=45.412026.020.9210.9160.954—————
VST-S++Params (M)=143.152026.040.9210.9160.954—————
VST-S ++Params (M)=143.152026.060.9210.9160.954—————
CATNetCategory=Accurate, Params(M)=262.5, FLOPs(G)=341.82026.060.9210.9050.9520.03————
CATNet23Params (M)=262.73, MACs (G)=172.062026.020.920.9220.958—————
CPNet24Params (M)=216.5, MACs (G)=129.342026.020.920.9220.96—————
CATNetParams (M)=262.732026.040.920.9220.958—————
CPNetParams (M)=216.502026.040.920.9220.96—————
CATNetParams (M)=262.732026.060.920.9220.958—————
CPNetParams (M)=216.502026.060.920.9220.96—————
CPNetCategory=Accurate, Params(M)=216.5, FLOPs(G)=129.32026.060.920.9030.9340.029————
SwinNet-B21Params (M)=199.18, MACs (G)=122.22026.020.9190.9180.956—————
SwinNet-BParams (M)=199.182026.040.9190.9180.956—————
Adaptive Predictor Fusion Network (APF)Backbone=ResNet-50, Method Style=Depth-free, Training Data=NJUD + NLPR2023.030.9170.920.9360.033————
PopNetCategory=Accurate, Params(M)=198.9, FLOPs(G)=108.02026.060.9170.9240.9470.033————
BTS-NetVenue=Ours2021.040.9150.9110.9490.038————
STANetCategory=Accurate, Params(M)=85.0, FLOPs(G)=24.52026.060.9150.9130.9520.037————
Adaptive Predictor Fusion Network (APF)Backbone=ResNet-50, Method Style=Depth-free, Training Data=DUT-RGBD + NJUD + NLPR2023.030.9140.920.9370.034————
DIGRCondition=Modality-Complete, RGB Availability=Available, Depth Availability=Available2024.070.914—0.9340.035———0.88
CIRNetCondition=Modality-Complete, RGB Availability=Available, Depth Availability=Available2024.070.914—0.930.038———0.874
VSTMACs (G)=30.99, Params (M)=83.832021.040.9130.9140.9510.038————
JL-DCF*Category=Deep Learning, Jointly trained with RGB-D and RGB=true2020.080.9110.9070.9490.039————
RD3DBackbone=ResNet-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.030.9110.9170.9440.037————
DASNetinference input=RGB only2020.050.910.915—0.0370.894———
DASNetBackbone=ResNet-50, Method Style=Depth-free, Training Data=NJUD + NLPR2023.030.910.9150.9410.037————
HIDANetCondition=Modality-Complete, RGB Availability=Available, Depth Availability=Available2024.070.91—0.9450.034———0.891
BBS-NetVenue=ECCV202021.040.9080.9030.9420.041————
CoNetPublication Year=20202021.080.9080.9050.9490.04————
BBSNetBackbone=ResNet-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.030.9080.9190.9410.041————
CoNetBackbone=ResNet-101, Method Style=Depth-free, Training Data=DUT-RGBD + NJUD + NLPR2023.030.9080.9090.9230.041————
COLACondition=Modality-Complete, RGB Availability=Available, Depth Availability=Available2024.070.908—0.9410.039———0.889
BBSNet20Params (M)=49.77, MACs (G)=31.202026.020.9080.9030.942—————
BBS-NetMACs (G)=31.2, Params (M)=49.772021.040.9080.9070.9420.041————
GroupTransNetCategory=Accurate, Params(M)=431.62026.060.9080.8950.9280.032————
Progressively Guided Alternate Refinement NetworkTraining Set=NJUD+NLPR+DUT2020.080.907—0.9190.041———0.88
PGARPublication Year=20202021.080.9070.8980.9390.041————
SP-Net2021.080.9070.9150.9440.037————
SPNetBackbone=Res2Net-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.030.9070.9130.940.038————
SP-Net21Params (M)=67.88, MACs (G)=175.292026.020.9070.9060.949—————
SPSN222026.020.9070.9020.945—————
SP-NetParams (M)=67.882026.040.9070.9060.949—————
SP-NetParams (M)=67.882026.060.9070.9060.949—————
SPSNParams (M)=-2026.060.9070.9020.945—————
HDFNetBackbone=VGG-162020.070.9060.9180.9370.039—0.8630.879—
SPSNCondition=Modality-Complete, RGB Availability=Available, Depth Availability=Available2024.070.906—0.9360.035———0.898
DCF21Params (M)=53.92, MACs (G)=108.62026.020.9060.9040.948—————
DCFParams (M)=53.922026.060.9060.9040.948—————
JL-DCF2020.040.9050.9010.9460.042————
CMWNet2020.070.905—0.9440.043—0.901——
JL-DCFCategory=Deep Learning, Jointly trained with RGB-D and RGB=false2020.080.9050.9010.9460.042————
JL-DCFPublication Year=20202021.080.9050.9010.9460.042————
DCFBackbone=ResNet-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.030.9050.9150.9430.037————
CoNetMACs (G)=20.89, Params (M)=43.662021.040.9050.9030.9470.037————
D3Netinference input=RGB-D2020.050.9040.881—0.0540.844———
HDFNetBackbone=VGG-192020.070.9030.9160.9340.04—0.8590.875—
UCNet2020.080.903—0.9220.04———0.885
Progressively Guided Alternate Refinement NetworkTraining Set=NJUD+NLPR2020.080.903—0.9170.044———0.872
ICNetPublication Year=20202021.080.9030.8980.9420.045————
UCNetPublication Year=20202021.080.9030.8990.9440.039————
JL-DCFBackbone=ResNet-101, Method Style=Depth-based, Training Data=NJUD + NLPR2023.030.9030.9130.9370.04————
C2DFNetCondition=Modality-Complete, RGB Availability=Available, Depth Availability=Available2024.070.903—0.9370.038———0.884
JL-DCFMACs (G)=211.06, Params (M)=143.522021.040.9030.9040.9470.04————
UC-NetMACs (G)=16.16, Params (M)=31.262021.040.9030.8990.9440.039————
HVPNet(-)Category=Lightweight, Params(M)=3.6, FLOPs(G)=3.42026.060.9030.9030.9460.038————
DANetPublication Year=20202021.080.9010.8920.9370.043————
DANetMACs (G)=66.25, Params (M)=26.682021.040.9010.8990.9370.044————
HDFNetBackbone=ResNet-502020.070.90.910.9310.041—0.8530.867—
cmSalGANPublication Year=20202021.080.90.8940.9360.05————
HDFNetPublication Year=20202021.080.90.90.9430.041————
HDFNetBackbone=ResNet-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.030.90.910.9310.041————
COLACondition=Depth-Missing, RGB Availability=Available, Depth Availability=Missing2024.070.9—0.9330.04———0.874
JL-DCF20Params (M)=143.52, MACs (G)=211.062026.020.90.8950.942—————
HDFNetMACs (G)=91.77, Params (M)=44.152021.040.90.9010.9430.042————
JL-DCFParams (M)=143.522026.040.90.8950.942—————
JL-DCFParams (M)=143.522026.060.90.8950.942—————
CAS-GNN2020.080.899—0.930.039———0.901
Cas-GNNPublication Year=20202021.080.8990.9010.930.039————
D3NetPublication Year=20212021.080.8990.8910.9380.046————
D3NetCondition=Modality-Complete, RGB Availability=Available, Depth Availability=Available2024.070.899—0.9250.041———0.879
Cas-Gnn2021.040.8990.9010.9440.039————
DSA2FBackbone=VGG-19, Method Style=Depth-based, Training Data=DUT-RGBD + NJUD + NLPR2023.030.8970.910.9420.039————
ATSAMACs (G)=42.17, Params (M)=32.172021.040.8960.8870.9420.038————
CMMSPublication Year=20202021.080.8950.8930.9390.043————
AirSODCategory=Lightweight, Params(M)=2.4, FLOPs(G)=0.92026.060.8950.90.9390.043————