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Models/MS-TCN

MS-TCN

Reported on 20 benchmarks across 2 tasks · 1 paper · 20 SOTA

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

Computer Vision20 results

Action Localizationon50 Salads
Acc· 2019-03-05
80.7
best: 91.4 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
SOTA
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:1903.01945
Action Localizationon50 Salads
Edit· 2019-03-05
67.9
best: 89.1 (Semantic2Graph)
SOTA
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:1903.01945
Action Localizationon50 Salads
F1@10%· 2019-03-05
76.3
best: 92.7 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
SOTA
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:1903.01945
Action Localizationon50 Salads
F1@25%· 2019-03-05
74
best: 91.6 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
SOTA
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:1903.01945
Action Localizationon50 Salads
F1@50%· 2019-03-05
64.5
best: 88.5 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
SOTA
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:1903.01945
Action LocalizationonGTEA
Acc· 2019-03-05
79.2
best: 89.8 (Semantic2Graph)
SOTA
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:1903.01945
Action LocalizationonGTEA
Edit· 2019-03-05
81.4
best: 93.5 (FACT)
SOTA
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:1903.01945
Action LocalizationonGTEA
F1@10%· 2019-03-05
87.5
best: 96.1 (FACT)
SOTA
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:1903.01945
Action LocalizationonGTEA
F1@25%· 2019-03-05
85.4
best: 95.6 (FACT)
SOTA
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:1903.01945
Action LocalizationonGTEA
F1@50%· 2019-03-05
74.6
best: 91.3 (Semantic2Graph)
SOTA
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:1903.01945
Action Segmentationon50 Salads
Acc· 2019-03-05
80.7
best: 91.4 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
SOTA
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:1903.01945
Action Segmentationon50 Salads
Edit· 2019-03-05
67.9
best: 89.1 (Semantic2Graph)
SOTA
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:1903.01945
Action Segmentationon50 Salads
F1@10%· 2019-03-05
76.3
best: 92.7 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
SOTA
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:1903.01945
Action Segmentationon50 Salads
F1@25%· 2019-03-05
74
best: 91.6 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
SOTA
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:1903.01945
Action Segmentationon50 Salads
F1@50%· 2019-03-05
64.5
best: 88.5 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
SOTA
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:1903.01945
Action SegmentationonGTEA
Acc· 2019-03-05
79.2
best: 89.8 (Semantic2Graph)
SOTA
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:1903.01945
Action SegmentationonGTEA
Edit· 2019-03-05
81.4
best: 93.5 (FACT)
SOTA
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:1903.01945
Action SegmentationonGTEA
F1@10%· 2019-03-05
87.5
best: 96.1 (FACT)
SOTA
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:1903.01945
Action SegmentationonGTEA
F1@25%· 2019-03-05
85.4
best: 95.6 (FACT)
SOTA
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:1903.01945
Action SegmentationonGTEA
F1@50%· 2019-03-05
74.6
best: 91.3 (Semantic2Graph)
SOTA
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:1903.01945