One-Shot 3D Action Recognition
5 papers with code • 1 benchmarks • 1 datasets
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Benchmarks
These leaderboards are used to track progress in One-Shot 3D Action Recognition
| Trend | Dataset | Best Model | Paper | Code | Compare |
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NTU RGB+D 120
Latest papers with no code
Global Context-Aware Attention LSTM Networks for 3D Action Recognition
Hence we propose a new class of LSTM network, Global Context-Aware Attention LSTM (GCA-LSTM), for 3D action recognition, which is able to selectively focus on the informative joints in the action sequence with the assistance of global contextual information.
Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates
Skeleton-based human action recognition has attracted a lot of research attention during the past few years.
