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Camouflaged Object Detection on Weeds-Banana (test)

0.9027S_alphaARNet-v2
0.532460.628580.72470.82082Apr 17, 2026

Evaluation results

MethodLinks
ARNet-v2Input=Vis2026.040.90270.82290.00860.94930.96670.99010.76810.84250.8737
SWNetInput=Vis+NIR2026.040.89660.87670.0070.98570.9860.99060.84930.8590.8788
CHNetInput=Vis2026.040.88390.80580.0090.92910.97130.98730.73580.80960.8619
ARNetInput=Vis2026.040.880.81310.00910.98270.96040.99040.81530.84920.8653
HitNetInput=Vis2026.040.87730.8090.00880.92910.96520.99370.73930.7970.8582
HitNetInput=NIR2026.040.87050.79920.00890.94550.94630.95460.78130.80450.8264
DGNetInput=Vis2026.040.84390.69080.01420.82990.93020.97680.60150.7120.7787
SWNetInput=NIR2026.040.84130.76240.01080.930.93250.93850.73320.7460.7676
DGNetInput=NIR2026.040.83810.68290.01510.8530.94330.98550.61190.71170.7631
ARNetInput=NIR2026.040.82650.72290.01270.94290.94020.9860.71380.7670.792
OCENetInput=Vis2026.040.82070.71850.01330.94550.94160.97910.71510.76430.7835
CHNetInput=NIR2026.040.80270.69710.01240.92670.91120.98380.720.74230.7631
ARNet-v2Input=NIR2026.040.80270.69710.01240.92670.91120.98380.720.74230.7631
SWNetInput=Vis2026.040.79710.72270.01220.93050.93380.93910.7040.71750.7419
SINet-V2Input=Vis2026.040.79170.57540.01790.80520.91750.97090.53820.61530.6753
OCENetInput=NIR2026.040.76510.58760.01750.91240.93410.98140.6070.6380.6575
BGNetInput=Vis2026.040.760.43620.03190.95430.94680.99460.80220.84690.9298
SINet-V2Input=NIR2026.040.75220.52720.02150.76680.87730.93220.49450.56460.6347
BGNetInput=NIR2026.040.74440.42170.03410.90170.9340.9910.72210.79620.895
C2F-NetInput=NIR2026.040.62770.25220.0710.77310.82740.96620.54380.61880.7577
C2F-NetInput=Vis2026.040.61070.22930.08270.74880.80650.97290.52310.60720.7848
EAMNetInput=Vis2026.040.57960.19530.10310.71510.76850.91220.4630.48950.5943
EAMNetInput=NIR2026.040.54670.14880.12320.73240.77010.93080.43930.42150.5255