Papers with Code · CC BY-SA 4.0

One-Shot 3D Action Recognition

Human Interaction Recognition › One-Shot 3D Action Recognition 10 평가 기록 1 datasets

논문

Global Context-Aware Attention LSTM Networks for 3D Action Recognition

2017-07-01 이 페이지의 평가 2건

Accuracy: 42.1%

MotionBERT: A Unified Perspective on Learning Human Motion Representations

2210.06551 2022-10-12 이 페이지의 평가 1건

Accuracy: 67.4%

NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

1905.04757 2019-05-12 이 페이지의 평가 1건

Accuracy: 45.3%

One-shot action recognition in challenging therapy scenarios

2102.08997 2021-02-17 이 페이지의 평가 1건

Accuracy: 46.5%

Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates

1706.08276 2017-06-26 이 페이지의 평가 1건

Accuracy: 42.9%

Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition

2012.13823 2020-12-26 이 페이지의 평가 1건

Accuracy: 54.2%

SkeletonX: Data-Efficient Skeleton-based Action Recognition via Cross-sample Feature Aggregation

2504.11749 2025-04-16 이 페이지의 평가 1건

Accuracy: 69.1%

SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition

2004.11085 2020-04-23 이 페이지의 평가 1건

Accuracy: 49.6%

Zero-shot Skeleton-based Action Recognition with Prototype-guided Feature Alignment

2507.00566 2025-07-01 이 페이지의 평가 1건

Accuracy: 69.8%