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Models/SRNN

SRNN

Reported on 9 benchmarks across 4 tasks · 2 papers · 2 SOTA

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

Natural Language Processing3 results

Sentiment AnalysisonAmazon Review Polarity
Accuracy· 2018-07-06
95.26
best: 97.37 (BERT large)
SOTA
Sliced Recurrent Neural Networks arXiv:1807.02291
Sentiment AnalysisonAmazon Review Full
Accuracy· 2018-07-06
61.65
best: 65.83 (BERT large)
SOTA
Sliced Recurrent Neural Networks arXiv:1807.02291
Sentiment AnalysisonYelp Binary classification
Error· 2018-07-06
3.96
best: 1.37 (XLNet)
Sliced Recurrent Neural Networks arXiv:1807.02291

Computer Vision2 results

Pose EstimationonHuman3.6M
MAR, walking, 1,000ms· 2015-11-17
2.13
best: 2.38 (ERD)
Structural-RNN: Deep Learning on Spatio-Temporal Graphs arXiv:1511.05298
Pose EstimationonHuman3.6M
MAR, walking, 400ms· 2015-11-17
1.3
best: 1.78 (ERD)
Structural-RNN: Deep Learning on Spatio-Temporal Graphs arXiv:1511.05298

Methodology2 results

3DonHuman3.6M
MAR, walking, 1,000ms· 2015-11-17
2.13
best: 2.38 (ERD)
Structural-RNN: Deep Learning on Spatio-Temporal Graphs arXiv:1511.05298
3DonHuman3.6M
MAR, walking, 400ms· 2015-11-17
1.3
best: 1.78 (ERD)
Structural-RNN: Deep Learning on Spatio-Temporal Graphs arXiv:1511.05298

Audio2 results

1 Image, 2*2 StitchionHuman3.6M
MAR, walking, 1,000ms· 2015-11-17
2.13
best: 2.38 (ERD)
Structural-RNN: Deep Learning on Spatio-Temporal Graphs arXiv:1511.05298
1 Image, 2*2 StitchionHuman3.6M
MAR, walking, 400ms· 2015-11-17
1.3
best: 1.78 (ERD)
Structural-RNN: Deep Learning on Spatio-Temporal Graphs arXiv:1511.05298