Zero Shot Skeletal Action Recognition
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Benchmarks
Most implemented
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
Zero-shot Skeleton-based Action Recognition with Prototype-guided Feature Alignment
TDSM: Triplet Diffusion for Skeleton-Text Matching in Zero-Shot Action Recognition
SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders
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+2TDSM: Triplet Diffusion for Skeleton-Text Matching in Zero-Shot Action Recognition
We firstly present a diffusion-based action recognition with zero-shot learning for skeleton inputs. In zero-shot skeleton-based action recognition, aligning skeleton features with the text features of action labels is e…
Action RecognitionSkeleton Based Action RecognitionText MatchingTriplet+3SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders
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+2Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition
While remarkable progress has been made on supervised skeleton-based action recognition, the challenge of zero-shot recognition remains relatively unexplored. In this paper, we argue that relying solely on aligning label…
Action RecognitionSkeleton Based Action RecognitionZero-Shot Action RecognitionZero-Shot Learning+1Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition
Skeleton-based zero-shot action recognition aims to recognize unknown human actions based on the learned priors of the known skeleton-based actions and a semantic descriptor space shared by both known and unknown categor…
Action RecognitionAttributeZero-Shot Action RecognitionZero Shot Skeletal Action RecognitionZero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization
Zero-shot skeleton-based action recognition aims to recognize actions of unseen categories after training on data of seen categories. The key is to build the connection between visual and semantic space from seen to unse…
Action RecognitionMutual Information EstimationSkeleton Based Action RecognitionZero Shot Skeletal Action Recognition+1