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Camouflaged Object Detection on CAMO (S_alpha, F_w_beta, E_xi, M)

91.2S_alphaRIDE
61.76869.40977.0584.691Apr 18, 2026Apr 22, 2026Apr 26, 2026May 1, 2026May 5, 2026May 9, 2026May 14, 2026

Evaluation results

MethodLinks
RIDEBackbone=DINOv2-L2026.0591.2——2.891.196.7
C3NetBackbone=DINOv2-L2026.0590.4——3.189.295.3
RIDEBackbone=PVT V22026.0588.7——4.186.894
VSCodeBackbone=DINOv2-L2026.0588.2——4.38693.1
SENetGFLOPs=142.3, FPS=41.72026.0487.983.892.34.3——
CamoDiffBackbone=PVT V22026.0587.8——4.285.393.6
RUNBackbone=PVT V22026.0587.7——4.586.193.4
CATPBackbone=CFRN, GFLOPs=219.8, FPS=25.22026.0487.583.392.94.4——
CFRNGFLOPs=358.9, FPS=18.72026.0487.182.892.94.3——
CATPBackbone=SENet, GFLOPs=100.4, FPS=45.52026.0486.381.290.35.1——
RIDEBackbone=Res2Net502026.0584.8——6.582.691.2
RUNBackbone=Res2Net502026.0584.3——6.681.590.5
RIDEBackbone=ResNet502026.0581.7——6.87989.1
FSELBackbone=ResNet502026.0581.6——6.977.988.1
FocusDiffBackbone=ResNet502026.0581.2——6.977.288.3
RUNBackbone=ResNet502026.0580.6——778.186.8
FEDERBackbone=ResNet502026.0580.2——777.587
FGANetBackbone=ResNet502026.0580——776.986.5
BSA-NetBackbone=Res2Net502026.0579.6——7.976.885.1
TR-PEFTBackbone=SENet, GFLOPs=131.8, FPS=40.352026.0463.145.270.314.3——
TR-PEFTBackbone=CFRN, GFLOPs=344.5, FPS=17.12026.0462.942.368.914.7——