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Benchmarks
Semantic Segmentation on WOD (val)
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66.63
mIoU
SLARM
42.5956
48.8353
55.075
61.3147
Mar 24, 2026
mIoU
Accuracy
Updated 25d ago
Evaluation Results
Method
Method
Links
mIoU
Accuracy
SLARM
Resolution=160 x 240
2026.03
66.63
89.23
Mask2Former-Swin
Backbone=Swin, Resolut...
2026.03
55.05
81.92
LSeg
Resolution=160 x 240
2026.03
48.76
79.76
OffSeg-L
Resolution=160 x 240
2026.03
48.68
76.35
SegFormer
Resolution=160 x 240
2026.03
46.6
75.72
OffSeg-B
Resolution=160 x 240
2026.03
46.12
74.17
SegMAN
Resolution=160 x 240
2026.03
45.67
71.86
Mask2Former-R50
Backbone=ResNet-50, Re...
2026.03
44.29
70.82
EfficientViT-Seg
Resolution=160 x 240
2026.03
43.52
76.37
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