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Learning Embeddings for Rare Words Leveraging Internet Search Engine and Spatial Location Relationships
Word embedding techniques depend heavily on the frequencies of words in the corpus, and are negatively impacted by failures in providing reliable representations for low-frequency words or unseen words during training.
A Semantics-Guided Graph Convolutional Network for Skeleton-Based Action Recognition
Action recognition with skeleton data is a challenging task in computer vision.
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Skeleton Based Action Recognition
on NTU RGB+D
An Attention-Enhanced Recurrent Graph Convolutional Network for Skeleton-Based Action Recognition
Dynamic movements of human skeleton have attracted more and more attention as a robust modality for action recognition.
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