GLIPv2: Unifying Localization and Vision-Language Understanding

Benchmark Model Rank Results
phrase-grounding-on-flickr30k-entities-testGLIPv2#1R@1: 87.7
referring-expression-segmentation-on-phrasecutGLIPv2#1Mean IoU: 61.3
object-detection-on-odinw-full-shot-13-tasksGLIPv2#4AP: 70.4
object-detection-on-lvis-v1-0-minivalGLIPv2#5box AP: 59.8
visual-question-answering-on-vqa-v2-test-stdGLIPv2-H (fine-tuned)#17overall: 74.8
object-detection-on-coco-test-devGLIPv2 (CoSwin-H, multi-scale)#19box mAP: 62.4
instance-segmentation-on-coco-test-devGLIPv2-H (fine-tuned)#25mask AP: 48.9