OneFormer (ConvNeXt-L, single-scale, Mapillary-Pretrained)

Reported on 1 benchmark across 1 task · 1 paper · 1 SOTA

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

Computer Vision1 result

Instance SegmentationonCityscapes val
mask AP· uses extra data· 2022-11-10
48.7
best: 49 (ViT-P (OneFormer, ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
SOTA
OneFormer: One Transformer to Rule Universal Image Segmentation arXiv:2211.06220