OpenSeeD( SwinL, single-scale)

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.

Computer Vision1 result

Instance SegmentationonCityscapes val
mask AP· uses extra data· 2023-03-14
48.5
best: 49 (ViT-P (OneFormer, ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
A Simple Framework for Open-Vocabulary Segmentation and Detection arXiv:2303.08131