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Camouflaged Object Detection on NC4K (S_alpha, F_beta, M, E_phi)

0.896S_alpha

MGNet-B4

0.726480.770490.81450.85851May 25, 2026
Updated 8d ago

Evaluation Results

MethodLinks
2026.05
0.8960.8680.0290.942
2026.05
0.8930.860.0320.936
2026.05
0.8920.8630.030.939
2026.05
0.8870.8520.0320.929
2026.05
0.8790.8260.0350.915
2026.05
0.8790.8550.0340.932
2026.05
0.8770.8540.0370.925
2026.05
0.8770.8360.0350.92
2026.05
0.8750.8320.0370.925
2026.05
0.875-0.0370.926
2026.05
0.867-0.0370.923
2026.05
0.8630.8090.0410.917
2026.05
0.860.8250.0520.894
2026.05
0.8590.8180.0440.906
2026.05
0.8570.8070.0440.906
2026.05
0.8470.7920.0480.903
2026.05
0.8470.8120.043-
2026.05
0.8410.8050.0480.897
2026.05
0.8390.7790.0520.874
2026.05
0.8290.8020.0520.886
2026.05
0.8130.8010.0570.859
2026.05
0.810.8140.0690.823
2026.05
0.8080.7680.0580.871
2026.05
0.7840.7230.0730.814
2026.05
0.7820.7540.0750.832
2026.05
0.7790.7510.0640.853
2026.05
0.7760.7280.0820.786
2026.05
0.7660.7250.0850.795
2026.05
0.7630.7470.0710.832
2026.05
0.7610.6570.0910.779
2026.05
0.7580.7440.080.796
2026.05
0.7540.6950.0980.767
2026.05
0.7330.6880.1040.756