Camouflaged Object Detection on NC4K (S_alpha, F_beta, M, E_phi) benchmark leaderboard · SOTA2 Research

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

0.896S_alphaMGNet-B4

Evaluation Results

Method	Links
MGNet-B42026.05		0.896	0.868	0.029	0.942
MGNet2026.05		0.893	0.86	0.032	0.936
CamoFormer-P2026.05		0.892	0.863	0.03	0.939
MSCAF-Net2026.05		0.887	0.852	0.032	0.929
FSPNet2026.05		0.879	0.826	0.035	0.915
ICEG2026.05		0.879	0.855	0.034	0.932
BoxSAM2026.05		0.877	0.854	0.037	0.925
FSPNet+2026.05		0.877	0.836	0.035	0.92
DGNet2026.05		0.875	0.832	0.037	0.925
HitNet2026.05		0.875	—	0.037	0.926
SAM-COD2026.05		0.867	—	0.037	0.923
DTINet2026.05		0.863	0.809	0.041	0.917
BoxSAM-S2026.05		0.86	0.825	0.052	0.894
MGNet-R2026.05		0.859	0.818	0.044	0.906
MRR-Net2026.05		0.857	0.807	0.044	0.906
SINet-V22026.05		0.847	0.792	0.048	0.903
CamoFocus2026.05		0.847	0.812	0.043	—
BSANet2026.05		0.841	0.805	0.048	0.897
UGTR2026.05		0.839	0.779	0.052	0.874
WS-SAM2026.05		0.829	0.802	0.052	0.886
WS-SAM2026.05		0.813	0.801	0.057	0.859
BoxSAM-P2026.05		0.81	0.814	0.069	0.823
SINet2026.05		0.808	0.768	0.058	0.871
SCWS2026.05		0.784	0.723	0.073	0.814
TEL2026.05		0.782	0.754	0.075	0.832
SCOD2026.05		0.779	0.751	0.064	0.853
SAM2026.05		0.776	0.728	0.082	0.786
TEL2026.05		0.766	0.725	0.085	0.795
SAM2026.05		0.763	0.747	0.071	0.832
WSSA2026.05		0.761	0.657	0.091	0.779
SCOD2026.05		0.758	0.744	0.08	0.796
SCWS2026.05		0.754	0.695	0.098	0.767
WSSA2026.05		0.733	0.688	0.104	0.756