Semantic Segmentation on WHU-OPT-SAR (test) benchmark leaderboard · SOTA2 Research

Semantic Segmentation on WHU-OPT-SAR (test)

67.55Farmland AccuracyBaseline (Concat)

Evaluation Results

Method	Links
Baseline (Concat)2026.01		67.55	57.51	48.83	61.5	73.84	37	17.01	51.89	66.17
Baseline-OPT2026.01		65.76	55.93	49.23	59.1	76.39	43.44	9.44	51.33	65.84
DisOptNet2026.01		34.81	31.27	19.5	41.81	57.63	11.82	15.55	30.34	44.03
DH-ADNet2026.01		34.81	30.62	20.6	41.32	56.23	12.67	15.5	30.26	44.35
RobustSAM2026.01		34.16	32.52	15.41	48.5	13.79	1.95	12.19	22.64	34.61
MMANet2026.01		34.12	34.17	24.36	45.15	44.76	15.63	9.88	29.72	41.67
MetaRS2026.01		33.75	34.74	20.93	51.83	59.09	16.85	8.61	32.26	45.04
STARS2026.01		33.71	39.97	21.37	54.39	62.71	17.41	8.91	34.07	46.68
Baseline-SAR2026.01		33.68	26.49	10.06	53.21	45.87	12.64	14.86	28.12	41.32
ShaSpec2026.01		33.43	35	24	45.03	46.36	15.42	7.83	29.58	41.61
Fine-tuning2026.01		33.11	31.83	21.85	41.18	58.74	12.51	14.06	30.47	44.34
DMNet2026.01		32.09	19.69	13.45	50.21	53.48	11.92	10.1	27.28	39.4