#1 A Deep Multi-Modal Explanation Model for Zero-Shot Learning (XZSL)
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Zero-shot learning (ZSL) has attracted significant attention due to its capabilities of classifying new images from unseen classes. In this paper, we propose to address a new and challenging task, namely explainable zero-shot learning (XZSL), which aims to generate visual and textual explanations to support the classification decision. Link for the video