One-Shot 3D Action Recognition
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Benchmarks
NTU RGB+D 120
Most implemented
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
Zero-shot Skeleton-based Action Recognition with Prototype-guided Feature Alignment
SkeletonX: Data-Efficient Skeleton-based Action Recognition via Cross-sample Feature Aggregation
MotionBERT: A Unified Perspective on Learning Human Motion Representations
One-shot action recognition in challenging therapy scenarios
Papers
Zero-shot Skeleton-based Action Recognition with Prototype-guided Feature Alignment
Zero-shot skeleton-based action recognition aims to classify unseen skeleton-based human actions without prior exposure to such categories during training. This task is extremely challenging due to the difficulty in gene…
Action RecognitionOne-Shot 3D Action RecognitionSkeleton Based Action RecognitionTransfer Learning+2SkeletonX: Data-Efficient Skeleton-based Action Recognition via Cross-sample Feature Aggregation
While current skeleton action recognition models demonstrate impressive performance on large-scale datasets, their adaptation to new application scenarios remains challenging. These challenges are particularly pronounced…
Action RecognitionOne-Shot 3D Action RecognitionSkeleton Based Action RecognitionMotionBERT: A Unified Perspective on Learning Human Motion Representations
We present a unified perspective on tackling various human-centric video tasks by learning human motion representations from large-scale and heterogeneous data resources. Specifically, we propose a pretraining stage in w…
3D Human Pose Estimation3D Pose EstimationAction RecognitionClassification+4One-shot action recognition in challenging therapy scenarios
One-shot action recognition aims to recognize new action categories from a single reference example, typically referred to as the anchor example. This work presents a novel approach for one-shot action recognition in the…
Action RecognitionOne-Shot 3D Action RecognitionSkeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition
One-shot action recognition allows the recognition of human-performed actions with only a single training example. This can influence human-robot-interaction positively by enabling the robot to react to previously unseen…
Action RecognitionMetric LearningOne-Shot 3D Action RecognitionSL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition
Recognizing an activity with a single reference sample using metric learning approaches is a promising research field. The majority of few-shot methods focus on object recognition or face-identification. We propose a met…
Action RecognitionFace IdentificationMetric LearningObject Recognition+2