Camouflaged Object Segmentation on CAMO 250 images (test) benchmark leaderboard · SOTA2 Research

Camouflaged Object Segmentation on CAMO 250 images (test)

0.036Mean Absolute Error (MAE)CGCOD

Evaluation Results

Method	Links
CGCOD2026.02		0.036	—	—	—	86.4	0.896	0.947
SENet2026.02		0.039	—	—	—	84.7	0.888	0.932
ZoomNeXt2026.02		0.041	—	—	—	85.7	0.889	0.945
CAMF2026.02		0.041	—	—	—	88.7	0.901	0.933
CamoDiff-E2026.02		0.042	—	—	—	85.1	0.878	0.936
COMPrompter2026.02		0.044	—	—	—	85.8	0.882	0.942
HitNet2026.02		0.055	—	—	—	80.9	0.849	0.906
UCOD-DPL2026.02		0.077	—	—	—	74	0.793	0.862
EASE2026.02		0.078	—	—	—	77.1	0.807	0.865
DSS2026.02		0.078	—	—	—	76.6	0.808	0.87
IAPF2026.02		0.081	—	—	—	76.8	0.803	0.864
RDVP-MSD2026.02		0.081	—	—	—	78.5	0.796	0.848
PFNet2021.04		0.085	0.782	0.852	0.695	—	—	—
QWen+SAM22026.02		0.085	—	—	—	74.1	0.79	0.849
MINet-R2021.04		0.09	0.749	0.835	0.635	—	—	—
ProMaC2026.02		0.09	—	—	—	72.5	0.767	0.846
F3Net2021.04		0.091	0.779	0.84	0.666	—	—	—
UpGen2026.02		0.091	—	—	—	71.8	0.779	0.833
GCPANet2021.04		0.092	0.778	0.842	0.646	—	—	—
BDRAR2021.04		0.093	0.759	0.825	0.664	—	—	—
PraNet2021.04		0.094	0.769	0.833	0.663	—	—	—
SINet2021.04		0.1	0.751	0.834	0.606	—	—	—
EGNet2021.04		0.104	0.732	0.827	0.583	—	—	—
DSC2021.04		0.105	0.736	0.83	0.592	—	—	—
MMCPF2026.02		0.105	—	—	—	68.3	0.737	0.772
CAMF2026.02		0.105	—	—	—	72.9	0.788	0.814
GenSAM2026.02		0.113	—	—	—	65.9	0.719	0.775
CPD2021.04		0.115	0.726	0.802	0.55	—	—	—
SdalsNet2026.02		0.117	—	—	—	66.4	0.696	0.801
UCOS-DA2026.02		0.127	—	—	—	60.6	0.701	0.784
SAM22026.02		0.128	—	—	—	64.8	0.744	0.83
FPN2021.04		0.131	0.684	0.791	0.483	—	—	—
MSRCNN2021.04		0.133	0.617	0.67	0.454	—	—	—
PSPNet2021.04		0.139	0.663	0.778	0.455	—	—	—
UNet++2021.04		0.149	0.599	0.74	0.392	—	—	—
Mask RCNN2021.04		0.151	0.574	0.716	0.43	—	—	—
PiCANet2021.04		0.156	0.609	0.753	0.356	—	—	—
BASNet2021.04		0.159	0.618	0.719	0.413	—	—	—
HTC2021.04		0.172	0.476	0.442	0.174	—	—	—
PFANet2021.04		0.172	0.659	0.735	0.391	—	—	—