Remote Sensing Image Classification on Berlin benchmark leaderboard · SOTA2 Research

Remote Sensing Image Classification on Berlin

0.17Model Parameters (M)MACN

Evaluation Results

Method	Links
MACN2025.09		0.17	0.7
HLMamba2025.09		0.19	12.77
UACL2025.09		0.21	2.99
Fusion-HCT2025.09		0.43	0.59
NCGLF2025.09		0.44	8.72
CALC2025.09		0.99	9.04
AsyFFNET2025.09		1.06	17.35
MSFMamba2025.09		2.46	61.91
BDGF2025.09		4.3	996.43
SS-MAE2025.09		4.54	65.02
SS-MAE2025.09		7.8	94.69
BDGF2025.09		16.38	99.33