Semantic Segmentation on MSeg (test) benchmark leaderboard · SOTA2 Research

Semantic Segmentation on MSeg (test)

79.5mIoU (VOC)GSS-FT-W

Evaluation Results

Method	Links
GSS-FT-W2023.03		79.5	47.7	75.9	65.3	68	49.7	61.9
GSS-FT-W2023.03		79.5	47.7	75.9	65.3	68	49.7	61.9
GSS-FF2023.03		78.7	45.8	74.2	61.8	65.4	46.9	59.5
MSeg+2023.03		78.7	47.5	75.1	66.1	68.1	49	61.7
GSS-FF2023.03		78.7	45.8	74.2	61.8	65.4	46.9	59.5
MSeg-480p2023.03		76.4	45.9	81.2	62.7	68.2	49.5	61.2
MSeg-720p2023.03		74.7	44	83.5	60.4	67.9	47.7	59.8
MSeg-1080p2023.03		72	44	84.5	59.9	66.5	49.5	59.8
MSeg2023.03		70.7	42.7	83.3	62	67	48.2	59.2
MSeg2023.03		70.7	42.7	83.3	62	67	48.2	59.2
MSeg-w/o relabel2023.03		70.2	42.7	82	62.7	65.5	43.2	57.6
MGDA2023.03		69.4	—	57.5	39.9	—	33.5	46.1
MGDA2023.03		69.4	—	57.5	39.9	—	33.5	46.1
GSS-FT-W2023.03		65.2	38.8	75.2	62.5	66.2	43.1	55.2
GSS-FF2023.03		64.1	37.1	72.3	59.3	62	40.6	52.6
MSeg+2023.03		63.8	39.6	73.9	60.9	65.1	43.5	54.9
CCSA2023.03		48.9	—	52.4	36	—	27	39.7
CCSA2023.03		48.9	—	52.4	36	—	27	39.7