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Co-Salient Object Detection on CoCA (test)

0.752FmaxVCP
0.4886720.5570360.62540.693764Mar 11, 2022Sep 16, 2022Mar 24, 2023Sep 29, 2023Apr 5, 2024Oct 11, 2024Apr 19, 2025

Evaluation results

MethodLinks
VCPTraining Datasets=S+D, Tunable Parameters (M)=4.94, Model Size (MB)=192025.040.7520.8190.8710.054
CONDATraining Datasets=S+D, Tunable Parameters (M)=24.1, Model Size (MB)=139.52025.040.6850.7630.8390.089
VCPTraining Datasets=C+D, Tunable Parameters (M)=4.94, Model Size (MB)=192025.040.680.7740.8290.069
GCoNet+Training Datasets=S+D, Tunable Parameters (M)=18.4, Model Size (MB)=70.42025.040.6370.7380.8140.081
SCEDTraining Datasets=S+D, Tunable Parameters (M)=156.7, Model Size (MB)=17502025.040.6290.7410.8280.084
DMTTraining Datasets=C+D, Tunable Parameters (M)=40.4, Model Size (MB)=154.42025.040.6210.7280.80.107
DMT2023.040.6190.72460.80010.1084
CADC++Training Datasets=D, Tunable Parameters (M)=393.212025.040.6090.7080.7910.107
GEMTraining Datasets=S+D, Tunable Parameters (M)=52.3, Model Size (MB)=199.72025.040.5990.7260.8080.095
DCFMVenue=CVPR20222023.040.59810.71010.78260.0845
DCFMFLOPs (G)=316.6, param. (M)=142.3, runtime (fps)=84.42022.030.598———
DCFMTraining Datasets=C, Tunable Parameters (M)=142.3, Model Size (MB)=542.92025.040.5980.710.7830.085
CoRPTraining Datasets=C+D, Tunable Parameters (M)=20, Model Size (MB)=228.32025.040.5970.7150.7690.103
DCFM†FLOPs (G)=313.0, param. (M)=140.5, runtime (fps)=101.9, Democratic Feature Enhancement (DFE)=Excluded2022.030.592———
MCCLTraining Datasets=S+D, Tunable Parameters (M)=27.1, Model Size (MB)=104.52025.040.5840.7130.7960.097
UniTRTraining Datasets=S+D, Tunable Parameters (M)=146.6, Model Size (MB)=5412025.040.5740.7080.7890.089
UFOVenue=ArXiv20222023.040.56810.69710.78020.0939
CADCVenue=ICCV20212023.040.54870.680.74430.133
CADCFLOPs (G)=457.9, param. (M)=392.8, runtime (fps)=18.02022.030.548———
CADCTraining Datasets=C+D, Tunable Parameters (M)=392.85, Model Size (MB)=1498.72025.040.5480.6810.7440.132
EVPTraining Datasets=S+D, Tunable Parameters (M)=3.7, Model Size (MB)=14.12025.040.5460.6860.760.126
GCoNetFLOPs (G)=311.5, param. (M)=142.0, runtime (fps)=116.22022.030.544———
GCoNetTraining Datasets=D, Tunable Parameters (M)=280.36, Model Size (MB)=541.72025.040.5440.6730.760.105
GCoNetVenue=CVPR20212023.040.54380.6730.75980.105
ICNetVenue=NIPS20202023.040.51330.65410.70420.147
GICDFLOPs (G)=467.6, param. (M)=278.0, runtime (fps)=40.82022.030.513———
GICDVenue=ECCV20202023.040.51260.65790.71490.126
CSMGVenue=CVPR20192023.040.49880.62760.73240.1273