One-Shot 3D Action Recognition
5 papers with code • 1 benchmarks • 1 datasets
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
Most implemented papers
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
Research on depth-based human activity analysis achieved outstanding performance and demonstrated the effectiveness of 3D representation for action recognition.
SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition
raphaelmemmesheimer/sl-dml
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Further, we show that our approach generalizes well in experiments on the UTD-MHAD dataset for inertial, skeleton and fused data and the Simitate dataset for motion capturing data.
Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition
raphaelmemmesheimer/skeleton-dml
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One-shot action recognition allows the recognition of human-performed actions with only a single training example.
One-shot action recognition in challenging therapy scenarios
AlbertoSabater/Skeleton-based-One-shot-Action-Recognition
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We also develop a set of complementary steps that boost the action recognition performance in the most challenging scenarios.
MotionBERT: A Unified Perspective on Learning Human Motion Representations
Walter0807/MotionBERT
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ICCV 2023
We present a unified perspective on tackling various human-centric video tasks by learning human motion representations from large-scale and heterogeneous data resources.
