Dual Relation Mining Network for Zero-Shot Learning

arXiv:2405.03613v1 Announce Type: new
Abstract: Zero-shot learning (ZSL) aims to recognize novel classes through transferring shared semantic knowledge (e.g., attributes) from seen classes to unseen classes. Recently, attention-based methods have exhibited significant progress which align visual features and attributes via a spatial attention mechanism. However, these methods only explore visual-semantic relationship in the spatial dimension, which can lead to classification ambiguity when different attributes share similar attention regions, and semantic relationship between attributes is rarely discussed. To alleviate the above …

abstract arxiv attention cs.cv explore features however knowledge mining network novel progress relationship semantic spatial through type via visual zero-shot