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Models/TSA (Kmeans)

TSA (Kmeans)

Reported on 10 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Computer Vision10 results

Action LocalizationonBreakfast
F1· 2023-04-13
58
SOTA
Leveraging triplet loss for unsupervised action segmentation arXiv:2304.06403
Action LocalizationonBreakfast
mIoU· 2023-04-13
53.3
SOTA
Leveraging triplet loss for unsupervised action segmentation arXiv:2304.06403
Action LocalizationonYoutube INRIA Instructional
F1· 2023-04-13
55.3
SOTA
Leveraging triplet loss for unsupervised action segmentation arXiv:2304.06403
Action SegmentationonBreakfast
F1· 2023-04-13
58
SOTA
Leveraging triplet loss for unsupervised action segmentation arXiv:2304.06403
Action SegmentationonBreakfast
mIoU· 2023-04-13
53.3
SOTA
Leveraging triplet loss for unsupervised action segmentation arXiv:2304.06403
Action SegmentationonYoutube INRIA Instructional
F1· 2023-04-13
55.3
SOTA
Leveraging triplet loss for unsupervised action segmentation arXiv:2304.06403
Action LocalizationonBreakfast
Acc· 2023-04-13
63.7
best: 78 (AdaFocus (newly extracted I3D-features, LT-Context model))
Leveraging triplet loss for unsupervised action segmentation arXiv:2304.06403
Action LocalizationonYoutube INRIA Instructional
Acc· 2023-04-13
59.7
best: 62.4 (TSA (FINCH))
Leveraging triplet loss for unsupervised action segmentation arXiv:2304.06403
Action SegmentationonBreakfast
Acc· 2023-04-13
63.7
best: 78 (AdaFocus (newly extracted I3D-features, LT-Context model))
Leveraging triplet loss for unsupervised action segmentation arXiv:2304.06403
Action SegmentationonYoutube INRIA Instructional
Acc· 2023-04-13
59.7
best: 62.4 (TSA (FINCH))
Leveraging triplet loss for unsupervised action segmentation arXiv:2304.06403