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Salient Object Detection on DAVIS S

97.9F_betaBiRefNet
63.47672.41381.3590.287Aug 20, 2019Aug 30, 2020Sep 10, 2021Sep 21, 2022Oct 2, 2023Oct 12, 2024Oct 24, 2025

Evaluation results

MethodLinks
BiRefNetData=SOD2025.1097.9—0.6———97.598.9
S3ODNetData=S3OD + SOD2025.1097.9—0.4———97.499.3
InSpyreNetData=SOD2025.1097.7—0.7———97.398.7
S3ODNetData=SOD2025.1097.5—0.5———96.999.1
S3ODNetTraining Data=S3OD2025.109796.70.5—98.8———
InSPyReNetbackbone=SwinB, training_datasets=DUTS-TR2022.0995.996.20.9——74.3——
PGNetTrained on=UHRSD-TR and HRSOD-TR, Backbone=ResNet-502022.0495.795.4112.72597.9———
PGNetData=SOD2025.1095.7—1———95.497.9
PGNetbackbone=SwinB + ResNet18, training_datasets=HRSOD-TR, UHRSD-TR2022.0995.695.41——73——
S3ODNetTraining Data=DIS2025.1095.1951—97.3———
PGNetTrained on=DUTS-TR and HRSOD-TR, Backbone=ResNet-502022.049594.81.214.46397.5———
PGNetbackbone=SwinB + ResNet18, training_datasets=DUTS-TR, HRSOD-TR2022.0994.894.71.2——71.6——
DHQSODTrained on=DUTS-TR and HRSOD-TR, Backbone=ResNet-502022.0493.8921.214.26694.7———
DHQData=SOD2025.1093.8—1.2———9294.7
PGNetTrained on=DUTS-TR, Backbone=ResNet-502022.0493.693.51.534.95794.7———
PA-KRNbackbone=SwinB, training_datasets=DUTS-TR, re-implemented=true2022.0993.594.41.4——66.8——
Tang et al.backbone=ResNet50, training_datasets=DUTS-TR, HRSOD-TR2022.0993.5921.2——71.6——
PGNetbackbone=SwinB + ResNet18, training_datasets=DUTS-TR2022.0993.193.51.5——70.7——
MINetbackbone=SwinB, training_datasets=DUTS-TR, re-implemented=true2022.099393.31.7——67.3——
Chen et al.backbone=SwinB, training_datasets=DUTS-TR, re-implemented=true2022.0992.593.41.8——69.7——
GCPATrained on=DUTS-TR, Backbone=ResNet-502022.0492.292.9239.1693.4———
F³Netbackbone=SwinB, training_datasets=DUTS-TR, re-implemented=true2022.0992.293.11.7——68.1——
InSpyreNetTraining Data=DIS2025.1092.193.71.5—96.6———
BiRefNetTraining Data=DIS2025.1091.993.61.4—96.1———
LDFbackbone=SwinB, training_datasets=DUTS-TR, re-implemented=true2022.0991.892.81.9——68.2——
PFSTrained on=DUTS-TR, Backbone=ResNet-502022.0491.692.31.930.61294.6———
F3NetTrained on=DUTS-TR, Backbone=ResNet-502022.0491.591.4244.7694———
LDFTrained on=DUTS-TR, Backbone=ResNet-502022.0491.192.21.935.44794.7———
LDFData=SOD2025.1091.1—1.9———92.294.7
MVANetTraining Data=DIS2025.1090.792.91.6—95.9———
CTDTrained on=DUTS-TR, Backbone=ResNet-502022.0490.491.11.942.83293.8———
DASNetTrained on=DUTS-TR, Backbone=ResNet-502022.0490.291.1226.76194.9———
ITSDTrained on=DUTS-TR, Backbone=ResNet-502022.0489.990.92.268.25692.2———
HRSODTrained on=DUTS-TR and HRSOD-TR, Backbone=VGG162022.0489.987.62.644.35995.5———
HRSODData=SOD2025.1089.9—2.6———87.695.5
SCRNTrained on=DUTS-TR, Backbone=ResNet-502022.0489.390.22.746.59291.1———
Zeng et al.backbone=VGG16, training_datasets=DUTS-TR, HRSOD-TR2022.0988.987.62.6——61.8——
GLFNVariant=Ours-DH2019.0888.887.62.6—————
CPDTrained on=DUTS-TR, Backbone=ResNet-502022.0487.189.32.933.97192.1———
GLFNVariant=Ours-D2019.088587.52.9—————
DGF2019.0878.584.73.7—————
DHS2019.0877.486.53.4—————
DGRL2019.0877.285.93.8—————
RAS2019.0876.386.73.8—————
Amulet2019.0875.584.84.2—————
RFCN2019.0872.884.26.2—————
DSS2019.0872.886.54.1—————
NLDF2019.0871.885.84.2—————
UCF2019.0864.882.78—————
Amulet2019.08———21.11————
DGF2019.08———19.77————
DGRL2019.08———14.48————
DHS2019.08———18.34————
DSS2019.08———19.35————
NLDF2019.08———23.56————
Ours2019.08———8.18————
RAS2019.08———18.49————
RFCN2019.08———21————
UCF2019.08———15.69————