Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/TSA (FINCH)

TSA (FINCH)

Reported on 8 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 Vision8 results

Action LocalizationonYoutube INRIA Instructional
Acc· 2023-04-13
62.4
SOTA
Leveraging triplet loss for unsupervised action segmentation arXiv:2304.06403
Action SegmentationonYoutube INRIA Instructional
Acc· 2023-04-13
62.4
SOTA
Leveraging triplet loss for unsupervised action segmentation arXiv:2304.06403
Action LocalizationonBreakfast
Acc· 2023-04-13
65.1
best: 78 (AdaFocus (newly extracted I3D-features, LT-Context model))
Leveraging triplet loss for unsupervised action segmentation arXiv:2304.06403
Action LocalizationonBreakfast
mIoU· 2023-04-13
52.1
best: 53.3 (TSA (Kmeans))
Leveraging triplet loss for unsupervised action segmentation arXiv:2304.06403
Action LocalizationonYoutube INRIA Instructional
F1· 2023-04-13
54.7
best: 55.3 (TSA (Kmeans))
Leveraging triplet loss for unsupervised action segmentation arXiv:2304.06403
Action SegmentationonBreakfast
Acc· 2023-04-13
65.1
best: 78 (AdaFocus (newly extracted I3D-features, LT-Context model))
Leveraging triplet loss for unsupervised action segmentation arXiv:2304.06403
Action SegmentationonBreakfast
mIoU· 2023-04-13
52.1
best: 53.3 (TSA (Kmeans))
Leveraging triplet loss for unsupervised action segmentation arXiv:2304.06403
Action SegmentationonYoutube INRIA Instructional
F1· 2023-04-13
54.7
best: 55.3 (TSA (Kmeans))
Leveraging triplet loss for unsupervised action segmentation arXiv:2304.06403