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

Semantic Segmentation on DSTL (test)

90.3IoUCBC-SLP

Evaluation Results

Method	Links
CBC-SLP2026.04		90.3	91.6
CBC-SLP2026.04		90.2	91.6
CBC-SLP2026.04		90.1	91.5
CBC-SLP2026.04		89.6	91
CBC-SLP2026.04		89.3	90.7
M3L2026.04		88.8	90.3
M3L2026.04		88.7	90.2
MMANet2026.04		87.9	89.2
M3L2026.04		87.8	89.5
M3L2026.04		87.6	89.3
MMANet2026.04		87.6	88.9
CBC-SLP2026.04		87.6	88.7
MMANet2026.04		87.5	88.8
M3L2026.04		87.4	88.5
MMANet2026.04		87.3	88.7
M3L2026.04		87.1	88.5
MMANet2026.04		86.5	87.5
MMANet2026.04		86.5	87.5
CBC-SLP2026.04		86.5	87.9
MultiSenseSeg2026.04		86.3	87.5
CMNeXt2026.04		86.2	87.2
CMNeXt2026.04		86.2	87.2
CMNeXt2026.04		86.2	87.2
MultiSenseSeg2026.04		86	87.2
CMX2026.04		86	86.9
CMX2026.04		85.9	86.8
MultiSenseSeg2026.04		85.8	87.1
Dformerv2-S2026.04		85.8	86.8
Dformerv2-S2026.04		85.7	86.7
Dformerv2-S2026.04		85.6	86.5
MultiSenseSeg2026.04		85.5	86.8
CMNeXt2026.04		85.5	86.4
Dformerv2-S2026.04		85.5	86.5
Dformerv2-S2026.04		85.5	86.2
CMX2026.04		85.4	86.3
Dformerv2-S2026.04		85.4	86.2
CMX2026.04		85.3	86.2
CMX2026.04		85.3	86.2
CMNeXt2026.04		85.3	86.4
Dformerv2-S2026.04		85.3	86.4
CMNeXt2026.04		85.2	86.6
MMANet2026.04		85.1	86.2
MultiSenseSeg2026.04		85	86.2
CFFormer2026.04		85	86
MultiSenseSeg2026.04		84.9	86.2
CFFormer2026.04		84.9	85.8
CMX2026.04		84.9	85.9
M3L2026.04		84.9	86.5
CFFormer2026.04		84.7	85.6
CFFormer2026.04		84.4	85.4
CMNeXt2026.04		84.3	85.2
MultiSenseSeg2026.04		83.6	84.9
CFFormer2026.04		82.4	83.4
CFFormer2026.04		82	83
CFFormer2026.04		81.6	82.3
CMX2026.04		80.6	81.5