Semantic Segmentation on SWJTU-Vision-Language benchmark leaderboard · SOTA2 Research

Semantic Segmentation on SWJTU-Vision-Language

69.73Overall Accuracy (OA)TSMNet

Evaluation Results

Method	Links
TSMNet2026.04		69.73	48.83	76.48	61.18	55.2	80.09	84.82	69.93	39.49
DenseCLIP2026.04		68.09	47.44	77.17	57.47	56.8	79.53	83.11	69.91	29.65
MSSNet2026.04		65.68	37.49	74.12	58.66	32.95	78.17	62.9	25.87	12.52
TACOSS2026.04		65.43	42.64	74.97	58.82	39.28	73.32	65.56	44.86	20.56
Deeplab v3+2026.04		65.34	37.12	63.76	52.68	51.28	72.75	80.84	58.07	38.04
CMGFNet2026.04		64.93	34.7	63.98	59.23	50.78	76.24	74.32	66.76	32.28
DDHRNet2026.04		62.63	32.66	62.83	54.65	50.93	79.59	81.42	56.33	33.71
MCANet2026.04		61.42	33.5	61.03	60.02	38.31	73.06	65.13	33.82	39.48