Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation

@inproceedings{Xu2016MultiTaskZA,
  title={Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation},
  author={Xun Xu and Timothy M. Hospedales and Shaogang Gong},
  booktitle={European Conference on Computer Vision},
  year={2016}
}
Zero-Shot Learning (ZSL) promises to scale visual recognition by bypassing the conventional model training requirement of annotated examples for every category. This is achieved by establishing a mapping connecting low-level features and a semantic description of the label space, referred as visual-semantic mapping, on auxiliary data. Re-using the learned mapping to project target videos into an embedding space thus allows novel-classes to be recognised by nearest neighbour inference. However… 

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