A Simple Framework for Open-Vocabulary Segmentation and Detection

Benchmark Model Rank Results
instance-segmentation-on-ade20k-valOpenSeeD#2AP: 42.6
instance-segmentation-on-cityscapes-valOpenSeeD( SwinL, single-scale)#3mask AP: 48.5
panoptic-segmentation-on-ade20k-valOpenSeed(SwinL, single scale, 1280x1280)#3PQ: 53.7
panoptic-segmentation-on-coco-minivalOpenSeeD (SwinL, single-scale)#3PQ: 59.5AP: 53.2
zero-shot-segmentation-on-segmentation-in-theOpenSEED#7Mean AP: 36.1