Multi-label zero-shot human action recognition via joint latent ranking embedding

Q Wang, K Chen - Neural networks, 2020 - Elsevier
Human action recognition is one of the most challenging tasks in computer vision. Most of
the existing works in human action recognition are limited to single-label classification. A …

[PDF][PDF] Multi-label zero-shot human action recognition via joint latent embedding

Q Wang, K Chen - arXiv preprint arXiv:1709.05107, 2017 - researchgate.net
Human action recognition refers to automatic recognizing human actions from a video clip,
which is one of the most challenging tasks in computer vision. Due to the fact that annotating …

[图书][B] Zero-Shot Visual Recognition via Latent Embedding Learning

Q Wang - 2018 - search.proquest.com
Traditional supervised visual recognition methods require a great number of annotated
examples for each concerned class. The collection and annotation of visual data (eg …