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Video Camouflaged Object Detection on CAD (test)

64.7mDiceCamoSAM2
15.09227.97140.8553.729Oct 31, 2023Mar 27, 2024Aug 23, 2024Jan 19, 2025Jun 17, 2025Nov 13, 2025Apr 11, 2026

Evaluation results

MethodLinks
CamoSAM2Input=Video2025.0464.7———65.2——54.377.485.20.018—
ZoomNeXtBackbone=PVTv2-B5, T=5, FPS=26.454, Param.=84.776M2023.1059.975.7—86.559.30.0263.151————
SAM-PMInput=Video2025.0459.4———60.2——49.372.974.60.018—
ZoomNeXtBackbone=PVTv2-B5, T=7, FPS=30.292, Param.=84.778M2023.1059.175.1—83.758.30.0261.850.5————
OursTraining Set=YUV20K2026.0457.877.558.283———50.5——0.01756.9
ZoomNextTraining Set=YUV20K2026.0457.777.556.981.5———50.3——0.01856.5
ZoomNeXtBackbone=PVTv2-B5, T=3, FPS=23.207, Param.=84.775M2023.1057.174.1—84.956.50.02159.848.7————
TSP-SAMInput=Video2025.0454.3———52.4——43.870.491.20.028—
MAPIInput=Video2025.0453———51.3——41.370.982.40.029—
ZoomNeXtBackbone=PVTv2-B5, T=1, FPS=11.741, Param.=84.774M2023.1052.372.1—75.952.50.02456.743.6————
EMIPTraining Set=YUV20K2026.0451.872.553.383.9———40.5——0.0348.3
HGINetInput=Image2025.0450.1———43.7——39.26882.10.05—
PUENetInput=Image2025.0449.9———42.7——38.967.380.30.034—
SLT-Net-STTraining Set=YUV20K2026.0449.97249.280.6———39.8——0.03944.5
STL-Net-LTBackbone=PVTv2-B5, FPS=6.488, Param.=82.303M2023.1049.369.6—84.548.10.0352.440.2————
SLT-NetInput=Video2025.0449.3———48.1——40.169.684.50.03—
STL-Net-STBackbone=PVTv2-B5, Param.=82.383M2023.1048.469.6—82.747.10.03151.539.2————
IMEXInput=Video2025.0446.9———45.2——3768.481.30.033—
SAM2-adapterInput=Image2025.0444.2———38.7——32.96574.60.043—
FSELInput=Image2025.0443.4———36.8——32.564.973.20.053—
SINet-V2Backbone=Res2Net-50, FPS=38.307, Param.=26.976M2023.1041.365.3—76.238.20.03943.231.8————
PNS-NetInput=Video2025.0440.9———36.9——30.867.8720.043—
BASNetBackbone=ResNet-50, FPS=37.361, Param.=87.060M2023.1039.363.9—77.334.90.05439.429.3————
BASNetInput=Image2025.0439.3———34.9——29.363.977.30.054—
PNS-NetBackbone=ResNet-50, FPS=142.889, Param.=26.874M+2023.1038.465.5—67.332.50.04841.729————
SINetBackbone=ResNet-50, FPS=56.509, Param.=48.947M2023.1038.163.6—77.534.60.04139.528.3————
PraNetBackbone=ResNet-50, FPS=41.886, Param.=32.547M2023.1037.862.9—76.335.20.04239.729————
PraNetInput=Image2025.0437.8———35.2——2962.976.30.042—
MGBackbone=VGG-style CNN, FPS=272.948, Param.=4.766M2023.1036.859.4—69.233.60.05937.526.8————
MGInput=Video2025.0436.8———33.6——26.859.469.10.059—
FEDERNetInput=Image2025.0436.1———23.3——30.160.472.50.061—
ZoomNetInput=Image2025.0434.5———23.5——26.566.166.60.089—
CPDBackbone=ResNet-50, FPS=43.71, Param.=47.851M2023.103362.2—66.728.90.04935.723.9————
EGNetBackbone=ResNet-50, FPS=5.682, Param.=111.693M2023.1032.461.9—66.629.80.0443524.3————
EGNetInput=Image2025.0432.4———29.8——24.361.966.60.044—
BGNetInput=Image2025.0432———24——23.865.162.50.077—
FSPNetInput=Image2025.0431.5———22.4——23.560.966.40.056—
RCRNetBackbone=ResNet-50, FPS=58.132, Param.=53.790M2023.1030.962.7—66.628.70.04832.822.9————
RCRNetInput=Video2025.0430.9———28.7——22.962.766.60.048—
SINetInput=Image2025.0428.9———20.4——20.960.158.90.089—
SINet-v2Input=Image2025.0417———18.1——1154.454.60.049—
MGParams (M)=null2023.11—60.837.867.3————————
PNS-NetParams (M)=26.872023.11—67.147.378.7————————
RCRNetParams (M)=53.792023.11—66.440.578.6————————
SLT-NetParams (M)=164.682023.11—71.554.282.3————————
VSCode-SParams (M)=74.722023.11—796885.3————————
VSCode-TParams (M)=54.092023.11—75.765.990.8————————