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/SSTDA

SSTDA

Reported on 32 benchmarks across 2 tasks · 1 paper · 30 SOTA

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

Computer Vision32 results

Action Localizationon50 Salads
Acc· 2020-03-05
83.2
best: 91.4 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action Localizationon50 Salads
Edit· 2020-03-05
75.8
best: 89.1 (Semantic2Graph)
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action Localizationon50 Salads
F1@10%· 2020-03-05
83
best: 92.7 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action Localizationon50 Salads
F1@25%· 2020-03-05
81.5
best: 91.6 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action Localizationon50 Salads
F1@50%· 2020-03-05
73.8
best: 88.5 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action LocalizationonGTEA
Acc· 2020-03-05
79.8
best: 89.8 (Semantic2Graph)
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action LocalizationonGTEA
Edit· 2020-03-05
86.2
best: 93.5 (FACT)
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action LocalizationonGTEA
F1@10%· 2020-03-05
90
best: 96.1 (FACT)
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action LocalizationonGTEA
F1@25%· 2020-03-05
89.1
best: 95.6 (FACT)
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action LocalizationonGTEA
F1@50%· 2020-03-05
78
best: 91.3 (Semantic2Graph)
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action LocalizationonBreakfast
Acc· 2020-03-05
70.2
best: 78 (AdaFocus (newly extracted I3D-features, LT-Context model))
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action LocalizationonBreakfast
Average F1· 2020-03-05
66.4
best: 76.2 (AdaFocus (newly extracted I3D-features, LT-Context model))
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action LocalizationonBreakfast
F1@10%· 2020-03-05
75
best: 82.1 (AdaFocus (newly extracted I3D-features, LT-Context model))
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action LocalizationonBreakfast
F1@25%· 2020-03-05
69.1
best: 79 (AdaFocus (newly extracted I3D-features, LT-Context model))
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action LocalizationonBreakfast
F1@50%· 2020-03-05
55.2
best: 67.5 (AdaFocus (newly extracted I3D-features, LT-Context model))
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action Segmentationon50 Salads
Acc· 2020-03-05
83.2
best: 91.4 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action Segmentationon50 Salads
Edit· 2020-03-05
75.8
best: 89.1 (Semantic2Graph)
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action Segmentationon50 Salads
F1@10%· 2020-03-05
83
best: 92.7 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action Segmentationon50 Salads
F1@25%· 2020-03-05
81.5
best: 91.6 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action Segmentationon50 Salads
F1@50%· 2020-03-05
73.8
best: 88.5 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action SegmentationonGTEA
Acc· 2020-03-05
79.8
best: 89.8 (Semantic2Graph)
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action SegmentationonGTEA
Edit· 2020-03-05
86.2
best: 93.5 (FACT)
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action SegmentationonGTEA
F1@10%· 2020-03-05
90
best: 96.1 (FACT)
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action SegmentationonGTEA
F1@25%· 2020-03-05
89.1
best: 95.6 (FACT)
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action SegmentationonGTEA
F1@50%· 2020-03-05
78
best: 91.3 (Semantic2Graph)
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action SegmentationonBreakfast
Acc· 2020-03-05
70.2
best: 78 (AdaFocus (newly extracted I3D-features, LT-Context model))
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action SegmentationonBreakfast
Average F1· 2020-03-05
66.4
best: 76.2 (AdaFocus (newly extracted I3D-features, LT-Context model))
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action SegmentationonBreakfast
F1@10%· 2020-03-05
75
best: 82.1 (AdaFocus (newly extracted I3D-features, LT-Context model))
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action SegmentationonBreakfast
F1@25%· 2020-03-05
69.1
best: 79 (AdaFocus (newly extracted I3D-features, LT-Context model))
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action SegmentationonBreakfast
F1@50%· 2020-03-05
55.2
best: 67.5 (AdaFocus (newly extracted I3D-features, LT-Context model))
SOTA
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action LocalizationonBreakfast
Edit· 2020-03-05
73.7
best: 79.7 (FACT (efficient hybrid of convolution and transformer model))
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824
Action SegmentationonBreakfast
Edit· 2020-03-05
73.7
best: 79.7 (FACT (efficient hybrid of convolution and transformer model))
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation arXiv:2003.02824