Generalized Zero Shot skeletal action recognition
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Benchmarks
Most implemented
SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders
2024-07-18 · 구현 1개
Papers
SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders
2024-07-18
· Sheng-Wei Li, Zi-Xiang Wei, Wei-Jie Chen, Yi-Hsin Yu 외
Existing zero-shot skeleton-based action recognition methods utilize projection networks to learn a shared latent space of skeleton features and semantic embeddings. The inherent imbalance in action recognition datasets,…
Action RecognitionDisentanglementGeneralized Zero Shot skeletal action recognitionSkeleton Based Action Recognition+2Multi-Semantic Fusion Model for Generalized Zero-Shot Skeleton-Based Action Recognition
2023-09-18
· Ming-Zhe Li, Zhen Jia, Zhang Zhang, Zhanyu Ma 외
Generalized zero-shot skeleton-based action recognition (GZSSAR) is a new challenging problem in computer vision community, which requires models to recognize actions without any training samples. Previous studies only u…
Action Recognitioncross-modal alignmentGeneralized Zero Shot skeletal action recognitionSkeleton Based Action Recognition+1Syntactically Guided Generative Embeddings for Zero-Shot Skeleton Action Recognition
2021-01-27
· Pranay Gupta, Divyanshu Sharma, Ravi Kiran Sarvadevabhatla
We introduce SynSE, a novel syntactically guided generative approach for Zero-Shot Learning (ZSL). Our end-to-end approach learns progressively refined generative embedding spaces constrained within and across the involv…
Action RecognitionGeneralized Zero-Shot LearningGeneralized Zero Shot skeletal action recognitionPOS+2