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Models/MuCon

MuCon

Reported on 12 benchmarks across 2 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 Vision14 results

Action LocalizationonBreakfast
Average F1· 2019-04-05
62.6
best: 76.2 (AdaFocus (newly extracted I3D-features, LT-Context model))
SOTA
Fast Weakly Supervised Action Segmentation Using Mutual Consistency arXiv:1904.03116
Action LocalizationonBreakfast
Edit· 2019-04-05
76.3
best: 79.7 (FACT (efficient hybrid of convolution and transformer model))
SOTA
Fast Weakly Supervised Action Segmentation Using Mutual Consistency arXiv:1904.03116
Action LocalizationonBreakfast
F1@10%· 2019-04-05
73.2
best: 82.1 (AdaFocus (newly extracted I3D-features, LT-Context model))
SOTA
Fast Weakly Supervised Action Segmentation Using Mutual Consistency arXiv:1904.03116
Action LocalizationonBreakfast
F1@25%· 2019-04-05
66.1
best: 79 (AdaFocus (newly extracted I3D-features, LT-Context model))
SOTA
Fast Weakly Supervised Action Segmentation Using Mutual Consistency arXiv:1904.03116
Action LocalizationonBreakfast
F1@50%· 2019-04-05
48.4
best: 67.5 (AdaFocus (newly extracted I3D-features, LT-Context model))
SOTA
Fast Weakly Supervised Action Segmentation Using Mutual Consistency arXiv:1904.03116
Action SegmentationonBreakfast
Average F1· 2019-04-05
62.6
best: 76.2 (AdaFocus (newly extracted I3D-features, LT-Context model))
SOTA
Fast Weakly Supervised Action Segmentation Using Mutual Consistency arXiv:1904.03116
Action SegmentationonBreakfast
Edit· 2019-04-05
76.3
best: 79.7 (FACT (efficient hybrid of convolution and transformer model))
SOTA
Fast Weakly Supervised Action Segmentation Using Mutual Consistency arXiv:1904.03116
Action SegmentationonBreakfast
F1@10%· 2019-04-05
73.2
best: 82.1 (AdaFocus (newly extracted I3D-features, LT-Context model))
SOTA
Fast Weakly Supervised Action Segmentation Using Mutual Consistency arXiv:1904.03116
Action SegmentationonBreakfast
F1@25%· 2019-04-05
66.1
best: 79 (AdaFocus (newly extracted I3D-features, LT-Context model))
SOTA
Fast Weakly Supervised Action Segmentation Using Mutual Consistency arXiv:1904.03116
Action SegmentationonBreakfast
F1@50%· 2019-04-05
48.4
best: 67.5 (AdaFocus (newly extracted I3D-features, LT-Context model))
SOTA
Fast Weakly Supervised Action Segmentation Using Mutual Consistency arXiv:1904.03116
Action LocalizationonBreakfast
Acc· 2019-04-05
62.8
best: 78 (AdaFocus (newly extracted I3D-features, LT-Context model))
Fast Weakly Supervised Action Segmentation Using Mutual Consistency arXiv:1904.03116
Action LocalizationonBreakfast
Acc· 2019-04-05
48.5
best: 78 (AdaFocus (newly extracted I3D-features, LT-Context model))
Fast Weakly Supervised Action Segmentation Using Mutual Consistency arXiv:1904.03116
Action SegmentationonBreakfast
Acc· 2019-04-05
62.8
best: 78 (AdaFocus (newly extracted I3D-features, LT-Context model))
Fast Weakly Supervised Action Segmentation Using Mutual Consistency arXiv:1904.03116
Action SegmentationonBreakfast
Acc· 2019-04-05
48.5
best: 78 (AdaFocus (newly extracted I3D-features, LT-Context model))
Fast Weakly Supervised Action Segmentation Using Mutual Consistency arXiv:1904.03116