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Models/GLIP

GLIP

Reported on 9 benchmarks across 6 tasks · 1 paper · 9 SOTA

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

Methodology5 results

3DonODinW Full-Shot 13 Tasks
AP· 2021-12-07
68.9
best: 73.1 (CP-DETR-L(only optimize prompt))
SOTA
Grounded Language-Image Pre-training arXiv:2112.03857
2D ClassificationonODinW Full-Shot 13 Tasks
AP· 2021-12-07
68.9
best: 73.1 (CP-DETR-L(only optimize prompt))
SOTA
Grounded Language-Image Pre-training arXiv:2112.03857
2D Object DetectiononRF100
Average mAP· 2021-12-07
0.112
SOTA
Grounded Language-Image Pre-training arXiv:2112.03857
2D Object DetectiononODinW Full-Shot 13 Tasks
AP· 2021-12-07
68.9
best: 73.1 (CP-DETR-L(only optimize prompt))
SOTA
Grounded Language-Image Pre-training arXiv:2112.03857
16konODinW Full-Shot 13 Tasks
AP· 2021-12-07
68.9
best: 73.1 (CP-DETR-L(only optimize prompt))
SOTA
Grounded Language-Image Pre-training arXiv:2112.03857

Natural Language Processing3 results

Phrase GroundingonFlickr30k Entities Test
R@1· uses extra data· 2021-12-07
87.1
best: 87.7 (GLIPv2)
SOTA
Grounded Language-Image Pre-training arXiv:2112.03857
Phrase GroundingonFlickr30k Entities Test
R@10· uses extra data· 2021-12-07
98.1
SOTA
Grounded Language-Image Pre-training arXiv:2112.03857
Phrase GroundingonFlickr30k Entities Test
R@5· uses extra data· 2021-12-07
96.9
SOTA
Grounded Language-Image Pre-training arXiv:2112.03857

Computer Vision1 result

Object DetectiononODinW Full-Shot 13 Tasks
AP· 2021-12-07
68.9
best: 73.1 (CP-DETR-L(only optimize prompt))
SOTA
Grounded Language-Image Pre-training arXiv:2112.03857