Segformer (MiT-B5)

Reported on 1 benchmark across 1 task · 1 paper

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

Audio1 result

2D Semantic SegmentationonWildScenes
mIoU· uses extra data· 2021-05-31
40.83
best: 47.85 (Mask2Former (Swin-L))
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers arXiv:2105.15203