Camouflaged Object Detection on CAMO (Sm, Em, Fwβ, MAE) benchmark leaderboard · SOTA2 Research

Camouflaged Object Detection on CAMO (Sm, Em, Fwβ, MAE)

0.874Weighted F-beta (Fwβ)Bi-CamoDiffusion

Evaluation Results

Method	Links
Bi-CamoDiffusion2026.03		0.874	0.8971	0.9621	0.039	—
Ours2026.04		0.862	—	—	0.044	0.874
COMPrompter*2026.04		0.858	—	—	0.044	0.882
FSEL2026.03		0.85	0.885	0.942	0.04	—
HQSAM*2026.04		0.85	—	—	0.048	0.863
Ours-J2026.04		0.849	—	—	0.049	0.863
ESCNet2026.04		0.843	—	—	0.044	0.871
SAM-DSA*2026.04		0.839	—	—	0.047	0.866
SAM-TTT*2026.04		0.838	—	—	0.045	0.868
ZoomNetxt2026.04		0.831	—	—	0.049	0.869
CamoDiffusion2026.03		0.8263	0.8659	0.9238	0.048	—
SAM2-Adapter*2026.04		0.81	—	—	0.051	0.855
SPNet2026.04		0.807	—	—	0.083	0.783
FSPNet2026.04		0.799	—	—	0.05	0.856
DaCod2026.04		0.796	—	—	0.051	0.856
DSAM*2026.04		0.794	—	—	0.061	0.832
MM-SAM*2026.04		0.782	—	—	0.059	0.863
SPSN2026.04		0.782	—	—	0.084	0.773
MedSAM*2026.04		0.779	—	—	0.065	0.82
ST-SAM*2026.04		0.779	—	—	0.058	0.844
FocusDiff2026.04		0.772	—	—	0.069	0.812
SAM-Adapter*2026.04		0.765	—	—	0.07	0.847
PlantCamo2026.04		0.757	—	—	0.076	0.819
ZoomNet2026.03		0.7522	0.8197	0.877	0.0659	—
BGNet2026.03		0.7485	0.8116	0.8698	0.0734	—
FGANet2026.04		0.748	—	—	0.068	0.803
PopNet2026.04		0.744	—	—	0.077	0.808
SINet-v22026.03		0.7426	0.8201	0.8817	0.0705	—
FEDER2026.04		0.738	—	—	0.071	0.802
OCENet2026.03		0.7234	0.8019	0.8518	0.0804	—
C2F-Net2026.03		0.7187	0.7961	0.8537	0.0799	—
BASNet2026.03		0.7174	0.7943	0.8511	0.0786	—
PFNet2026.03		0.6952	0.7823	0.841	0.0849	—
PFNet2026.04		0.695	—	—	0.085	0.782
UGTR2026.03		0.6836	0.7839	0.8215	0.0863	—
MGL2026.03		0.6728	0.7755	0.816	0.0884	—
PraNet2026.03		0.6625	0.7692	0.8245	0.0942	—
GenSAM*2026.04		0.659	—	—	0.113	0.719
SINet2026.03		0.6443	0.7454	0.8035	0.0915	—
MINet2026.03		0.637	0.748	0.7911	0.0903	—
SINet2026.04		0.606	—	—	0.1	0.751
EGNet2026.03		0.6036	0.732	0.7996	0.1095	—
F3Net2026.03		0.5636	0.7113	0.7407	0.1087	—
UTNet2026.04		0.518	—	—	0.123	0.677