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Models/SegFormer-B2

SegFormer-B2

Reported on 12 benchmarks across 2 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical6 results

Semantic SegmentationonDSEC
mIoU· 2021-05-31
71.99
best: 74.94 (BRENet)
SOTA
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers arXiv:2105.15203
Semantic SegmentationonDDD17
mIoU· 2021-05-31
71.05
best: 78.56 (BRENet)
SOTA
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers arXiv:2105.15203
Semantic Segmentationon Potsdam
mIoU· 2021-05-31
84.65
best: 86.39 (LMFNet-3)
SOTA
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers arXiv:2105.15203
Semantic Segmentationon US3D
mIoU· 2021-05-31
75.14
best: 85.09 (LMFNet-3)
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers arXiv:2105.15203
Semantic SegmentationonEventScape
mIoU· 2021-05-31
58.69
best: 64.28 (CMX (B4))
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers arXiv:2105.15203
Semantic SegmentationonVaihingen
mIoU· 2021-05-31
76.69
best: 82.87 (CMX)
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers arXiv:2105.15203

Audio6 results

10-shot image generationonDSEC
mIoU· 2021-05-31
71.99
best: 74.94 (BRENet)
SOTA
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers arXiv:2105.15203
10-shot image generationonDDD17
mIoU· 2021-05-31
71.05
best: 78.56 (BRENet)
SOTA
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers arXiv:2105.15203
10-shot image generationon Potsdam
mIoU· 2021-05-31
84.65
best: 86.39 (LMFNet-3)
SOTA
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers arXiv:2105.15203
10-shot image generationon US3D
mIoU· 2021-05-31
75.14
best: 85.09 (LMFNet-3)
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers arXiv:2105.15203
10-shot image generationonEventScape
mIoU· 2021-05-31
58.69
best: 64.28 (CMX (B4))
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers arXiv:2105.15203
10-shot image generationonVaihingen
mIoU· 2021-05-31
76.69
best: 82.87 (CMX)
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers arXiv:2105.15203