Change Detection on GVLM benchmark leaderboard · SOTA2 Research

Change Detection on GVLM

91.56PrecisionA2Net

Evaluation Results

Method	Links
A2Net2024.04		91.56	97.76	72.85	81.14	82.96
CaCo2026.02		91.4	—	89.2	90.3	—
ChangeMamba2026.02		91.2	—	90.4	90.8	—
MaskCD2024.04		91.14	98.7	89.05	90.08	90.29
MaSoN2026.02		91.1	—	89.4	90.3	—
MTP2026.02		90.8	—	89	89.9	—
GFM2026.02		90.5	—	89.2	89.8	—
ChFormer2026.02		90.4	—	86.6	88.5	—
SatMAE2026.02		90.2	—	89.3	89.8	—
BiFA2026.02		89.9	—	88.2	89	—
BIT2026.02		89.8	—	87.9	88.8	—
BIT2024.04		89.75	98.41	85.71	87.68	88.19
ChangeFormer2024.04		89.43	98.31	84.41	86.85	87.48
SNUNet2024.04		88.5	98.41	87.28	87.88	88.35
SwinSUNet2026.02		88.2	—	92	90	—
Siam-Diff2024.04		87.91	98.01	81	84.31	85.39
SNUNet2026.05		87.82	98.97	91.67	89.68	80.85
RDPNet2024.04		87.51	98.27	86.1	86.8	87.42
DMINet2024.04		87.38	98.25	85.91	86.64	87.28
ICIFNet2024.04		87.35	98.31	87.1	87.22	87.78
OmniCD2026.05		85.38	97.82	89.71	87.53	77.99
FCS-Diff2026.02		82.7	—	67.6	74.3	—
STANet2026.05		81.29	97.32	89.33	85.14	74.09
FC-EF2026.05		79.46	96.88	85.77	82.49	70.22
FC-Siam-Diff2026.05		78.9	96.72	87.35	82.91	70.81
FC-Siam-Conc2026.05		74.47	96.47	89.53	81.31	68.54