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Models/PAU

PAU

Reported on 60 benchmarks across 2 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 Vision60 results

VideoonMSVD
video-to-text R@10· 2023-09-29
97.1
SOTA
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonMSVD
video-to-text R@10· 2023-09-29
97.1
SOTA
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonMSR-VTT-1kA
text-to-video Mean Rank· 2023-09-29
14
best: 28.2 (Collaborative Experts)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonMSR-VTT-1kA
text-to-video Median Rank· 2023-09-29
2
best: 13 (JSFusion)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonMSR-VTT-1kA
text-to-video R@1· 2023-09-29
48.5
best: 62.9 (HunYuan_tvr (huge))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonMSR-VTT-1kA
text-to-video R@10· 2023-09-29
82.5
best: 90.8 (HunYuan_tvr (huge))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonMSR-VTT-1kA
text-to-video R@5· 2023-09-29
72.7
best: 84.5 (HunYuan_tvr (huge))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonMSR-VTT-1kA
video-to-text Mean Rank· 2023-09-29
9.7
best: 10.2 (CenterCLIP (ViT-B/16))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonMSR-VTT-1kA
video-to-text Median Rank· 2023-09-29
2
best: 5 (CLIP)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonMSR-VTT-1kA
video-to-text R@1· 2023-09-29
48.3
best: 64.8 (HunYuan_tvr (huge))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonMSR-VTT-1kA
video-to-text R@10· 2023-09-29
83.2
best: 91.1 (HunYuan_tvr (huge))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonMSR-VTT-1kA
video-to-text R@5· 2023-09-29
73
best: 783 (PIDRo)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonDiDeMo
text-to-video Mean Rank· 2023-09-29
12.9
best: 43.7 (Collaborative Experts)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonDiDeMo
text-to-video Median Rank· 2023-09-29
2
best: 8.3 (Collaborative Experts)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonDiDeMo
text-to-video R@1· 2023-09-29
48.6
best: 74.2 (InternVideo2-6B)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonDiDeMo
text-to-video R@10· 2023-09-29
84.5
best: 94.2 (vid-TLDR (UMT-L))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonDiDeMo
text-to-video R@5· 2023-09-29
76
best: 91.2 (vid-TLDR (UMT-L))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonDiDeMo
video-to-text Mean Rank· 2023-09-29
9.8
best: 39.6 (PO Loss)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonDiDeMo
video-to-text Median Rank· 2023-09-29
2
best: 8 (PO Loss)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonDiDeMo
video-to-text R@1· 2023-09-29
48.1
best: 71.9 (InternVideo2-6B)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonDiDeMo
video-to-text R@10· 2023-09-29
85.7
best: 93.8 (vid-TLDR (UMT-L))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonDiDeMo
video-to-text R@5· 2023-09-29
74.2
best: 89.8 (vid-TLDR (UMT-L))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonMSVD
text-to-video Mean Rank· 2023-09-29
9.6
best: 23.1 (Collaborative Experts)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonMSVD
text-to-video Median Rank· 2023-09-29
2
best: 6 (SSML)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonMSVD
text-to-video R@1· 2023-09-29
47.3
best: 61.4 (InternVideo2-6B)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonMSVD
text-to-video R@10· 2023-09-29
85.5
best: 90.3 (HunYuan_tvr (huge))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonMSVD
text-to-video R@5· 2023-09-29
77.4
best: 87.6 (CAMoE)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonMSVD
video-to-text Mean Rank· 2023-09-29
2.4
best: 7.6 (HunYuan_tvr (huge))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonMSVD
video-to-text Median Rank· 2023-09-29
1
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonMSVD
video-to-text R@1· 2023-09-29
68.9
best: 85.2 (InternVideo2-6B)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
VideoonMSVD
video-to-text R@5· 2023-09-29
93.1
best: 94.5 (HunYuan_tvr (huge))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonMSR-VTT-1kA
text-to-video Mean Rank· 2023-09-29
14
best: 28.2 (Collaborative Experts)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonMSR-VTT-1kA
text-to-video Median Rank· 2023-09-29
2
best: 13 (JSFusion)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonMSR-VTT-1kA
text-to-video R@1· 2023-09-29
48.5
best: 62.9 (HunYuan_tvr (huge))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonMSR-VTT-1kA
text-to-video R@10· 2023-09-29
82.5
best: 90.8 (HunYuan_tvr (huge))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonMSR-VTT-1kA
text-to-video R@5· 2023-09-29
72.7
best: 84.5 (HunYuan_tvr (huge))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonMSR-VTT-1kA
video-to-text Mean Rank· 2023-09-29
9.7
best: 10.2 (CenterCLIP (ViT-B/16))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonMSR-VTT-1kA
video-to-text Median Rank· 2023-09-29
2
best: 5 (CLIP)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonMSR-VTT-1kA
video-to-text R@1· 2023-09-29
48.3
best: 64.8 (HunYuan_tvr (huge))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonMSR-VTT-1kA
video-to-text R@10· 2023-09-29
83.2
best: 91.1 (HunYuan_tvr (huge))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonMSR-VTT-1kA
video-to-text R@5· 2023-09-29
73
best: 783 (PIDRo)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonDiDeMo
text-to-video Mean Rank· 2023-09-29
12.9
best: 43.7 (Collaborative Experts)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonDiDeMo
text-to-video Median Rank· 2023-09-29
2
best: 8.3 (Collaborative Experts)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonDiDeMo
text-to-video R@1· 2023-09-29
48.6
best: 74.2 (InternVideo2-6B)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonDiDeMo
text-to-video R@10· 2023-09-29
84.5
best: 94.2 (vid-TLDR (UMT-L))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonDiDeMo
text-to-video R@5· 2023-09-29
76
best: 91.2 (vid-TLDR (UMT-L))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonDiDeMo
video-to-text Mean Rank· 2023-09-29
9.8
best: 39.6 (PO Loss)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonDiDeMo
video-to-text Median Rank· 2023-09-29
2
best: 8 (PO Loss)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonDiDeMo
video-to-text R@1· 2023-09-29
48.1
best: 71.9 (InternVideo2-6B)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonDiDeMo
video-to-text R@10· 2023-09-29
85.7
best: 93.8 (vid-TLDR (UMT-L))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonDiDeMo
video-to-text R@5· 2023-09-29
74.2
best: 89.8 (vid-TLDR (UMT-L))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonMSVD
text-to-video Mean Rank· 2023-09-29
9.6
best: 23.1 (Collaborative Experts)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonMSVD
text-to-video Median Rank· 2023-09-29
2
best: 6 (SSML)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonMSVD
text-to-video R@1· 2023-09-29
47.3
best: 61.4 (InternVideo2-6B)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonMSVD
text-to-video R@10· 2023-09-29
85.5
best: 90.3 (HunYuan_tvr (huge))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonMSVD
text-to-video R@5· 2023-09-29
77.4
best: 87.6 (CAMoE)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonMSVD
video-to-text Mean Rank· 2023-09-29
2.4
best: 7.6 (HunYuan_tvr (huge))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonMSVD
video-to-text Median Rank· 2023-09-29
1
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonMSVD
video-to-text R@1· 2023-09-29
68.9
best: 85.2 (InternVideo2-6B)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093
Video RetrievalonMSVD
video-to-text R@5· 2023-09-29
93.1
best: 94.5 (HunYuan_tvr (huge))
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval arXiv:2309.17093