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Models/VLG-Net

VLG-Net

Reported on 30 benchmarks across 1 task · 2 papers · 24 SOTA

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

Computer Vision30 results

VideoonMAD
R@1,IoU=0.5· 2021-12-01
1.61
best: 7.06 (DeCafNet)
SOTA
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions arXiv:2112.00431
VideoonMAD
R@10,IoU=0.3· 2021-12-01
15.2
best: 19.86 (VLG-Net + Guidance Model)
SOTA
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions arXiv:2112.00431
VideoonMAD
R@10,IoU=0.5· 2021-12-01
10.18
best: 13.72 (VLG-Net + Guidance Model)
SOTA
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions arXiv:2112.00431
VideoonMAD
R@100,IoU=0.1· 2021-12-01
49.65
best: 73.62 (DenoiseLoc)
SOTA
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions arXiv:2112.00431
VideoonMAD
R@100,IoU=0.3· 2021-12-01
43.95
best: 49.38 (VLG-Net + Guidance Model)
SOTA
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions arXiv:2112.00431
VideoonMAD
R@100,IoU=0.5· 2021-12-01
34.18
best: 39.12 (VLG-Net + Guidance Model)
SOTA
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions arXiv:2112.00431
VideoonMAD
R@5,IoU=0.5· 2021-12-01
6.23
best: 16.13 (DeCafNet)
SOTA
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions arXiv:2112.00431
VideoonMAD
R@50,IoU=0.1· 2021-12-01
38.41
best: 66.07 (DenoiseLoc)
SOTA
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions arXiv:2112.00431
VideoonMAD
R@50,IoU=0.3· 2021-12-01
33.68
best: 39.77 (VLG-Net + Guidance Model)
SOTA
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions arXiv:2112.00431
VideoonMAD
R@50,IoU=0.5· 2021-12-01
25.33
best: 30.22 (VLG-Net + Guidance Model)
SOTA
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions arXiv:2112.00431
VideoonTACoS
R@1,IoU=0.3· 2020-11-19
45.46
best: 58.1 (SG-DETR (w/ PT))
SOTA
VLG-Net: Video-Language Graph Matching Network for Video Grounding arXiv:2011.10132
VideoonTACoS
R@1,IoU=0.5· 2020-11-19
34.19
best: 46.79 (DeCafNet)
SOTA
VLG-Net: Video-Language Graph Matching Network for Video Grounding arXiv:2011.10132
VideoonTACoS
R@5,IoU=0.1· 2020-11-19
81.8
SOTA
VLG-Net: Video-Language Graph Matching Network for Video Grounding arXiv:2011.10132
VideoonTACoS
R@5,IoU=0.3· 2020-11-19
70.38
best: 71.13 (DeCafNet)
SOTA
VLG-Net: Video-Language Graph Matching Network for Video Grounding arXiv:2011.10132
VideoonTACoS
R@5,IoU=0.5· 2020-11-19
56.56
SOTA
VLG-Net: Video-Language Graph Matching Network for Video Grounding arXiv:2011.10132
VideoonActivityNet Captions
R@1,IoU=0.5· 2020-11-19
46.32
best: 60.67 (GVL (paragraph-level))
SOTA
VLG-Net: Video-Language Graph Matching Network for Video Grounding arXiv:2011.10132
VideoonActivityNet Captions
R@1,IoU=0.7· 2020-11-19
29.82
best: 38.55 (GVL (paragraph-level))
SOTA
VLG-Net: Video-Language Graph Matching Network for Video Grounding arXiv:2011.10132
VideoonActivityNet Captions
R@5,IoU=0.7· 2020-11-19
63.33
SOTA
VLG-Net: Video-Language Graph Matching Network for Video Grounding arXiv:2011.10132
VideoonDiDeMo
R@1,IoU=0.5· 2020-11-19
33.35
SOTA
VLG-Net: Video-Language Graph Matching Network for Video Grounding arXiv:2011.10132
VideoonDiDeMo
R@1,IoU=0.7· 2020-11-19
25.57
SOTA
VLG-Net: Video-Language Graph Matching Network for Video Grounding arXiv:2011.10132
VideoonDiDeMo
R@1,IoU=1.0· 2020-11-19
25.57
SOTA
VLG-Net: Video-Language Graph Matching Network for Video Grounding arXiv:2011.10132
VideoonDiDeMo
R@5,IoU=0.5· 2020-11-19
88.86
SOTA
VLG-Net: Video-Language Graph Matching Network for Video Grounding arXiv:2011.10132
VideoonDiDeMo
R@5,IoU=0.7· 2020-11-19
71.72
SOTA
VLG-Net: Video-Language Graph Matching Network for Video Grounding arXiv:2011.10132
VideoonDiDeMo
R@5,IoU=1.0· 2020-11-19
71.65
SOTA
VLG-Net: Video-Language Graph Matching Network for Video Grounding arXiv:2011.10132
VideoonMAD
R@1,IoU=0.1· 2021-12-01
3.5
best: 17.3 (ReVisionLLM)
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions arXiv:2112.00431
VideoonMAD
R@1,IoU=0.3· 2021-12-01
2.63
best: 12.7 (ReVisionLLM)
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions arXiv:2112.00431
VideoonMAD
R@10,IoU=0.1· 2021-12-01
18.32
best: 41.44 (DenoiseLoc)
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions arXiv:2112.00431
VideoonMAD
R@5,IoU=0.1· 2021-12-01
11.74
best: 30.35 (DenoiseLoc)
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions arXiv:2112.00431
VideoonMAD
R@5,IoU=0.3· 2021-12-01
9.49
best: 23.68 (DeCafNet)
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions arXiv:2112.00431
VideoonActivityNet Captions
R@5,IoU=0.5· 2020-11-19
77.15
best: 81.5 (UnLoc-B)
VLG-Net: Video-Language Graph Matching Network for Video Grounding arXiv:2011.10132