Semantic Segmentation on Potsdam (Class-wise IoU/F1, mIoU, mF1) benchmark leaderboard · SOTA2 Research

Semantic Segmentation on Potsdam (Class-wise IoU/F1, mIoU, mF1)

83.68Impervious surface IoUMPerS

Evaluation Results

Method	Links
MPerS2026.05		83.68	91.12	93.08	96.41	72.36	83.97	72.22	83.87	83.86	91.22	81.04	89.32
MPerS2026.05		82.51	90.42	91.67	95.66	70.56	82.74	70.49	82.69	82.62	90.48	79.57	88.4
RS^3Mamba2026.05		81.84	90.02	91.26	95.43	70.02	82.37	69.55	82.04	81.94	90.07	78.92	87.98
A^2-FPN2026.05		81.6	89.87	91.45	95.53	69.57	82.06	69.36	81.91	82.28	90.28	78.85	87.93
MAResUnet2026.05		80.7	89.32	90.63	95.08	67.27	80.43	67.21	80.39	81.29	89.68	77.16	86.79
SegCLIP2026.05		80.13	88.97	89.97	94.72	67.81	80.82	69.41	81.95	81.52	89.82	77.77	87.25
Unetformer2026.05		79.79	88.76	88.72	94.02	67.21	80.39	66.12	79.6	81.43	89.76	76.65	76.65
MetaSegNet2026.05		77.52	87.34	88.83	94.08	65.17	78.92	67.9	80.88	73.98	85.04	74.68	85.25
DC-Swin2026.05		76.42	86.63	85.89	92.41	62.19	76.69	62.19	76.69	76.41	86.63	72.24	83.51
FILM2026.05		71.99	83.72	78.74	88.11	61.56	76.2	53.43	69.65	61.7	76.31	65.48	65.48