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Salient Object Detection on SOD (test)

88.5Max F-ScoreICON-S
50.12460.08770.0580.013Mar 7, 2016Jun 8, 2017Sep 9, 2018Dec 11, 2019Mar 13, 2021Jun 14, 2022Sep 15, 2023

Evaluation results

MethodLinks
ICON-SArchitecture=Transformer, Backbone=SwinTransformer2023.0988.50.08382.580.2
ICON-RArchitecture=CNN, Backbone=ResNet502023.0988.20.08482.479.4
VSTArchitecture=Transformer2023.0987.60.0858277.6
PFSNetArchitecture=CNN2023.0987.50.0898178.1
EGNetArchitecture=CNN2023.0987.30.09780.776.7
ITSD-RArchitecture=CNN, Backbone=ResNet502023.0987.30.09380.977.7
CSF-R2Architecture=CNN, Backbone=Res2Net502023.0987.20.0988075.7
M3Net-SArchitecture=Transformer, Backbone=SwinTransformer2023.0987.10.07383.881.9
MINet-RArchitecture=CNN, Backbone=ResNet502023.09870.09280.576.8
GateNet-RArchitecture=CNN, Backbone=ResNet502023.09870.09880.175.3
BBRFArchitecture=Transformer2023.0986.80.07882.280.2
PoolNetArchitecture=CNN2023.0986.70.10379.274.6
LDFArchitecture=CNN2023.0986.60.0938076.5
M3Net-RArchitecture=CNN, Backbone=ResNet502023.0986.50.08481.978.4
SRformerArchitecture=Transformer2023.0986.20.08880.977
CPD-RArchitecture=CNN, Backbone=ResNet502023.0984.90.1177.171.3
MSRNet2017.0484.70.112——
AFNetArchitecture=CNN2023.0984.70.1087872.6
PiCANetArchitecture=CNN2023.0984.60.0947874.1
DCL+2016.0383.20.126——
DCL+2017.0483.20.126——
BASNetArchitecture=CNN2023.0983.20.11277.272.8
DCL2016.0382.90.129——
DHSNet2017.0482.30.127——
RFCN2017.0480.50.161——
FCN2016.0379.50.158——
MDF2016.0378.50.155——
MDF2017.0478.50.155——
LEGS2016.0373.20.195——
LEGS2017.0473.20.195——
MC2016.0372.70.179——
MC2017.0472.70.179——
DRFI2016.0369.90.223——
DRFI2017.0469.90.223——
PISA2016.03660.223——
BSCA2016.0365.40.251——
GC2016.0352.60.284——
GC2017.0452.60.284——
SF2016.0351.60.267——