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Models/MS-TCN++

MS-TCN++

Reported on 30 benchmarks across 2 tasks · 1 paper · 14 SOTA

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

Computer Vision30 results

Action Localizationon50 Salads
Acc· 2020-06-16
83.7
best: 91.4 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
SOTA
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action LocalizationonAssembly101
Edit· 2020-06-16
30.7
best: 35.3 (ASQuery)
SOTA
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action LocalizationonAssembly101
F1@10%· 2020-06-16
31.6
best: 37.8 (ASQuery)
SOTA
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action LocalizationonAssembly101
F1@25%· 2020-06-16
27.8
best: 35.6 (ASQuery)
SOTA
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action LocalizationonAssembly101
F1@50%· 2020-06-16
20.6
best: 29.4 (ASQuery)
SOTA
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action LocalizationonAssembly101
MoF· 2020-06-16
37.1
best: 41.2 (LTContext)
SOTA
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action LocalizationonGTEA
Acc· 2020-06-16
80.1
best: 89.8 (Semantic2Graph)
SOTA
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action Segmentationon50 Salads
Acc· 2020-06-16
83.7
best: 91.4 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
SOTA
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action SegmentationonAssembly101
Edit· 2020-06-16
30.7
best: 35.3 (ASQuery)
SOTA
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action SegmentationonAssembly101
F1@10%· 2020-06-16
31.6
best: 37.8 (ASQuery)
SOTA
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action SegmentationonAssembly101
F1@25%· 2020-06-16
27.8
best: 35.6 (ASQuery)
SOTA
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action SegmentationonAssembly101
F1@50%· 2020-06-16
20.6
best: 29.4 (ASQuery)
SOTA
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action SegmentationonAssembly101
MoF· 2020-06-16
37.1
best: 41.2 (LTContext)
SOTA
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action SegmentationonGTEA
Acc· 2020-06-16
80.1
best: 89.8 (Semantic2Graph)
SOTA
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action Localizationon50 Salads
Edit· 2020-06-16
74.3
best: 89.1 (Semantic2Graph)
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action Localizationon50 Salads
F1@10%· 2020-06-16
80.7
best: 92.7 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action Localizationon50 Salads
F1@25%· 2020-06-16
78.5
best: 91.6 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action Localizationon50 Salads
F1@50%· 2020-06-16
70.1
best: 88.5 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action LocalizationonGTEA
Edit· 2020-06-16
83.5
best: 93.5 (FACT)
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action LocalizationonGTEA
F1@10%· 2020-06-16
88.8
best: 96.1 (FACT)
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action LocalizationonGTEA
F1@25%· 2020-06-16
85.7
best: 95.6 (FACT)
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action LocalizationonGTEA
F1@50%· 2020-06-16
76
best: 91.3 (Semantic2Graph)
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action Segmentationon50 Salads
Edit· 2020-06-16
74.3
best: 89.1 (Semantic2Graph)
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action Segmentationon50 Salads
F1@10%· 2020-06-16
80.7
best: 92.7 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action Segmentationon50 Salads
F1@25%· 2020-06-16
78.5
best: 91.6 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action Segmentationon50 Salads
F1@50%· 2020-06-16
70.1
best: 88.5 (Br-Prompt+ASPnet (RGB, flow, accelerometer))
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action SegmentationonGTEA
Edit· 2020-06-16
83.5
best: 93.5 (FACT)
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action SegmentationonGTEA
F1@10%· 2020-06-16
88.8
best: 96.1 (FACT)
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action SegmentationonGTEA
F1@25%· 2020-06-16
85.7
best: 95.6 (FACT)
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220
Action SegmentationonGTEA
F1@50%· 2020-06-16
76
best: 91.3 (Semantic2Graph)
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation arXiv:2006.09220