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Models/Norton

Norton

Reported on 17 benchmarks across 5 tasks · 1 paper · 10 SOTA

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

Computer Vision16 results

Long Video Retrieval (Background Removed)onYouCook2
Cap. Avg. R@1· 2024-01-30
75.5
SOTA
Multi-granularity Correspondence Learning from Long-term Noisy Videos arXiv:2401.16702
Long Video Retrieval (Background Removed)onYouCook2
Cap. Avg. R@5· 2024-01-30
95
SOTA
Multi-granularity Correspondence Learning from Long-term Noisy Videos arXiv:2401.16702
Long Video Retrieval (Background Removed)onYouCook2
DTW R@1· 2024-01-30
88.7
SOTA
Multi-granularity Correspondence Learning from Long-term Noisy Videos arXiv:2401.16702
Long Video Retrieval (Background Removed)onYouCook2
DTW R@10· 2024-01-30
99.5
SOTA
Multi-granularity Correspondence Learning from Long-term Noisy Videos arXiv:2401.16702
Long Video Retrieval (Background Removed)onYouCook2
DTW R@5· 2024-01-30
98.8
SOTA
Multi-granularity Correspondence Learning from Long-term Noisy Videos arXiv:2401.16702
Long Video Retrieval (Background Removed)onYouCook2
OTAM R@1· 2024-01-30
88.9
SOTA
Multi-granularity Correspondence Learning from Long-term Noisy Videos arXiv:2401.16702
Long Video Retrieval (Background Removed)onYouCook2
OTAM R@5· 2024-01-30
98.4
SOTA
Multi-granularity Correspondence Learning from Long-term Noisy Videos arXiv:2401.16702
Zero-Shot Video RetrievalonYouCook2
text-to-video R@1· 2024-01-30
24.2
best: 26.1 (OmniVec2)
SOTA
Multi-granularity Correspondence Learning from Long-term Noisy Videos arXiv:2401.16702
Zero-Shot Video RetrievalonYouCook2
text-to-video R@10· 2024-01-30
64.1
best: 70.8 (OmniVec2)
SOTA
Multi-granularity Correspondence Learning from Long-term Noisy Videos arXiv:2401.16702
Zero-Shot Video RetrievalonYouCook2
text-to-video R@5· 2024-01-30
51.9
best: 54.1 (OmniVec2)
SOTA
Multi-granularity Correspondence Learning from Long-term Noisy Videos arXiv:2401.16702
Action LocalizationonCOIN
Frame accuracy· uses extra data· 2024-01-30
69.8
best: 72.8 (UnLoc-L)
Multi-granularity Correspondence Learning from Long-term Noisy Videos arXiv:2401.16702
Action SegmentationonCOIN
Frame accuracy· uses extra data· 2024-01-30
69.8
best: 72.8 (UnLoc-L)
Multi-granularity Correspondence Learning from Long-term Noisy Videos arXiv:2401.16702
Long Video Retrieval (Background Removed)onYouCook2
Cap. Avg. R@10· 2024-01-30
97.7
best: 97.9 (VideoCLIP)
Multi-granularity Correspondence Learning from Long-term Noisy Videos arXiv:2401.16702
Long Video Retrieval (Background Removed)onYouCook2
OTAM R@10· 2024-01-30
99.5
Multi-granularity Correspondence Learning from Long-term Noisy Videos arXiv:2401.16702
Zero-Shot Video RetrievalonMSR-VTT
text-to-video R@1· 2024-01-30
10.7
best: 55.9 (InternVideo2-6B)
Multi-granularity Correspondence Learning from Long-term Noisy Videos arXiv:2401.16702
Zero-Shot Video RetrievalonMSR-VTT
text-to-video R@5· 2024-01-30
24.1
best: 78.3 (InternVideo2-6B)
Multi-granularity Correspondence Learning from Long-term Noisy Videos arXiv:2401.16702

Reasoning1 result

Video Question AnsweringonMSRVTT-MC
Accuracy· 2024-01-30
92.7
best: 97.6 (VIOLETv2)
Multi-granularity Correspondence Learning from Long-term Noisy Videos arXiv:2401.16702