OpenCodePapers
one-shot-3d-action-recognition-on-ntu-rgbd
Human Interaction Recognition
One-Shot 3D Action Recognition
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Paper
Code
Accuracy
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ModelName
ReleaseDate
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Zero-shot Skeleton-based Action Recognition with Prototype-guided Feature Alignment
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69.8%
PGFA
2025-07-01
SkeletonX: Data-Efficient Skeleton-based Action Recognition via Cross-sample Feature Aggregation
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69.1%
SkeletonX
2025-04-16
MotionBERT: A Unified Perspective on Learning Human Motion Representations
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67.4%
MotionBERT (Finetune)
2022-10-12
Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition
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54.2%
Skeleton-DML
2020-12-26
SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition
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49.6%
Deep Metric Learning (Triplet Loss, Signals)
2020-04-23
One-shot action recognition in challenging therapy scenarios
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46.5%
TCN_OneShot
2021-02-17
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
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45.3%
APSR
2019-05-12
Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates
42.9%
Average Pooling
2017-06-26
Global Context-Aware Attention LSTM Networks for 3D Action Recognition
42.1%
Fully Connected
2017-07-01
Global Context-Aware Attention LSTM Networks for 3D Action Recognition
41.0%
Attention Network
2017-07-01