4 papers
Extremely Simple Out-of-distribution Detection for Audio-visual Generalized Zero-shot Learning
Yang Liu, Xun Zhang, Jiale Du +2
Zero-shot Learning(ZSL) attains knowledge transfer from seen classes to unseen classes by exploring auxiliary category information, which is a promising yet difficult research topi…
Unbiased Max-Min Embedding Classification for Transductive Few-Shot Learning: Clustering and Classification Are All You Need
Yang Liu, Feixiang Liu, Jiale Du +2
Convolutional neural networks and supervised learning have achieved remarkable success in various fields but are limited by the need for large annotated datasets. Few-shot learning…
Hybrid Discriminative Attribute-Object Embedding Network for Compositional Zero-Shot Learning
Yang Liu, Xinshuo Wang, Jiale Du +2
Compositional Zero-Shot Learning (CZSL) recognizes new combinations by learning from known attribute-object pairs. However, the main challenge of this task lies in the complex inte…
Relation-Aware Meta-Learning for Zero-shot Sketch-Based Image Retrieval
Yang Liu, Jiale Du, Xinbo Gao +1
Sketch-based image retrieval (SBIR) relies on free-hand sketches to retrieve natural photos within the same class. However, its practical application is limited by its inability to…