Multi-Label Zero-Shot Learning With Transfer-Aware Label Embedding Projection
arXiv: Computer Vision and Pattern Recognition, Volume abs/1808.02474, 2019, Pages 3671-3675.
Zero-shot learning transfers knowledge from seen classes to novel unseen classes to reduce human labor of labelling data for building new classifiers. Much effort on zero-shot learning however has focused on the standard multi-class setting, the more challenging multi-label zero-shot problem has received limited attention. In this paper w...More
Full Text (Upload PDF)
PPT (Upload PPT)