Building Extraction on WHU dataset benchmark leaderboard · SOTA2 Research

Building Extraction on WHU dataset

95.58F1 ScoreDynamicVis-L

Evaluation Results

Method	Links
DynamicVis-L2025.03		95.58	95.87	95.28	91.54
DynamicVis-B2025.03		95.41	95.82	95.01	91.23
DynamicVis-L2025.03		95.32	96.39	94.27	91.06
DynamicVis-B2025.03		95.27	95.43	95.11	90.98
RSM-SS2025.03		95.18	95.25	95.12	90.81
DynamicVis-L2025.03		95.04	95.36	94.72	90.55
STT2025.03		94.97	—	—	90.48
UperNet2025.03		94.9	95.6	94.21	90.3
MA-FCN2025.03		94.83	94.75	94.92	90.18
DynamicVis-B2025.03		94.83	95.59	94.06	90.16
PoolFormer2025.03		94.67	95.1	94.24	89.88
DANet2025.03		94.62	95.13	94.12	89.8
ResUNet2025.03		94.6	94.49	94.71	89.75
Segformer2025.03		94.57	94.72	94.42	89.7
Deeplabv3+2025.03		94.42	94.31	94.53	89.43
PSPNet2025.03		94.42	94.46	94.38	89.43
MAP-Net2025.03		94.4	93.99	94.82	89.4
DynamicVis-B2025.03		94.37	94.91	93.83	89.33
DynamicVis-L2025.03		94.31	94.45	94.17	89.24
HRNet2025.03		94.2	94.78	93.64	89.05
DeepLabv32025.03		94.06	95.03	93.12	88.8
PSANet2025.03		94.06	94.15	93.96	88.78
TransUNet2025.03		93.56	94.05	93.07	87.89
U-Net2025.03		92.65	94.5	90.88	86.31
CMTFNet2025.03		92.59	90.12	95.21	86.21
FCN2025.03		92.56	92.29	92.84	86.16
SegNet2025.03		92.56	93.42	91.71	86.15
Mask2Former2025.03		92.24	92.26	92.22	85.6