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Models/MQ-GLIP-L

MQ-GLIP-L

Reported on 20 benchmarks across 5 tasks · 1 paper · 15 SOTA

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

Methodology16 results

3DonODinW Full-Shot 13 Tasks
AP· 2023-05-30
71.3
best: 73.1 (CP-DETR-L(only optimize prompt))
SOTA
Multi-modal Queried Object Detection in the Wild arXiv:2305.18980
3DonLVIS v1.0 minival
AP· uses extra data· 2023-05-30
43.4
best: 58.2 (CP-DETR-Pro(without LVIS data))
SOTA
Multi-modal Queried Object Detection in the Wild arXiv:2305.18980
3DonLVIS v1.0 val
AP· uses extra data· 2023-05-30
34.7
best: 51.6 (CP-DETR-Pro(without LVIS data))
SOTA
Multi-modal Queried Object Detection in the Wild arXiv:2305.18980
2D ClassificationonODinW Full-Shot 13 Tasks
AP· 2023-05-30
71.3
best: 73.1 (CP-DETR-L(only optimize prompt))
SOTA
Multi-modal Queried Object Detection in the Wild arXiv:2305.18980
2D ClassificationonLVIS v1.0 minival
AP· uses extra data· 2023-05-30
43.4
best: 58.2 (CP-DETR-Pro(without LVIS data))
SOTA
Multi-modal Queried Object Detection in the Wild arXiv:2305.18980
2D ClassificationonLVIS v1.0 val
AP· uses extra data· 2023-05-30
34.7
best: 51.6 (CP-DETR-Pro(without LVIS data))
SOTA
Multi-modal Queried Object Detection in the Wild arXiv:2305.18980
2D Object DetectiononODinW Full-Shot 13 Tasks
AP· 2023-05-30
71.3
best: 73.1 (CP-DETR-L(only optimize prompt))
SOTA
Multi-modal Queried Object Detection in the Wild arXiv:2305.18980
2D Object DetectiononLVIS v1.0 minival
AP· uses extra data· 2023-05-30
43.4
best: 58.2 (CP-DETR-Pro(without LVIS data))
SOTA
Multi-modal Queried Object Detection in the Wild arXiv:2305.18980
2D Object DetectiononLVIS v1.0 val
AP· uses extra data· 2023-05-30
34.7
best: 51.6 (CP-DETR-Pro(without LVIS data))
SOTA
Multi-modal Queried Object Detection in the Wild arXiv:2305.18980
16konODinW Full-Shot 13 Tasks
AP· 2023-05-30
71.3
best: 73.1 (CP-DETR-L(only optimize prompt))
SOTA
Multi-modal Queried Object Detection in the Wild arXiv:2305.18980
16konLVIS v1.0 minival
AP· uses extra data· 2023-05-30
43.4
best: 58.2 (CP-DETR-Pro(without LVIS data))
SOTA
Multi-modal Queried Object Detection in the Wild arXiv:2305.18980
16konLVIS v1.0 val
AP· uses extra data· 2023-05-30
34.7
best: 51.6 (CP-DETR-Pro(without LVIS data))
SOTA
Multi-modal Queried Object Detection in the Wild arXiv:2305.18980
3DonODinW
Average Score· uses extra data· 2023-05-30
23.9
best: 32.2 (CP-DETR-L Swin-L)
Multi-modal Queried Object Detection in the Wild arXiv:2305.18980
2D ClassificationonODinW
Average Score· uses extra data· 2023-05-30
23.9
best: 32.2 (CP-DETR-L Swin-L)
Multi-modal Queried Object Detection in the Wild arXiv:2305.18980
2D Object DetectiononODinW
Average Score· uses extra data· 2023-05-30
23.9
best: 32.2 (CP-DETR-L Swin-L)
Multi-modal Queried Object Detection in the Wild arXiv:2305.18980
16konODinW
Average Score· uses extra data· 2023-05-30
23.9
best: 32.2 (CP-DETR-L Swin-L)
Multi-modal Queried Object Detection in the Wild arXiv:2305.18980

Computer Vision4 results

Object DetectiononODinW Full-Shot 13 Tasks
AP· 2023-05-30
71.3
best: 73.1 (CP-DETR-L(only optimize prompt))
SOTA
Multi-modal Queried Object Detection in the Wild arXiv:2305.18980
Object DetectiononLVIS v1.0 minival
AP· uses extra data· 2023-05-30
43.4
best: 58.2 (CP-DETR-Pro(without LVIS data))
SOTA
Multi-modal Queried Object Detection in the Wild arXiv:2305.18980
Object DetectiononLVIS v1.0 val
AP· uses extra data· 2023-05-30
34.7
best: 51.6 (CP-DETR-Pro(without LVIS data))
SOTA
Multi-modal Queried Object Detection in the Wild arXiv:2305.18980
Object DetectiononODinW
Average Score· uses extra data· 2023-05-30
23.9
best: 32.2 (CP-DETR-L Swin-L)
Multi-modal Queried Object Detection in the Wild arXiv:2305.18980