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Models/R^2-Tuning

R^2-Tuning

Reported on 9 benchmarks across 3 tasks · 1 paper · 2 SOTA

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

Computer Vision7 results

Highlight DetectiononQVHighlights
mAP· 2024-03-31
40.75
best: 44.7 (SG-DETR (w/ PT))
SOTA
$R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding arXiv:2404.00801
Moment RetrievalonQVHighlights
R@1 IoU=0.5· 2024-03-31
68.03
best: 76.59 (LLaVA-MR)
$R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding arXiv:2404.00801
Moment RetrievalonQVHighlights
R@1 IoU=0.7· 2024-03-31
49.35
best: 61.48 (LLaVA-MR)
$R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding arXiv:2404.00801
Moment RetrievalonQVHighlights
mAP· 2024-03-31
46.17
best: 58.8 (SG-DETR (w/ PT))
$R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding arXiv:2404.00801
Moment RetrievalonQVHighlights
mAP@0.5· 2024-03-31
69.04
best: 76.2 (SG-DETR (w/ PT))
$R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding arXiv:2404.00801
Moment RetrievalonQVHighlights
mAP@0.75· 2024-03-31
47.56
best: 60.8 (SG-DETR (w/ PT))
$R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding arXiv:2404.00801
Highlight DetectiononQVHighlights
Hit@1· 2024-03-31
64.2
best: 71.01 (FlashVTG)
$R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding arXiv:2404.00801

Methodology2 results

16konQVHighlights
mAP· 2024-03-31
40.75
best: 44.7 (SG-DETR (w/ PT))
SOTA
$R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding arXiv:2404.00801
16konQVHighlights
Hit@1· 2024-03-31
64.2
best: 71.01 (FlashVTG)
$R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding arXiv:2404.00801