Learning cross-domain semantic-visual relationships for transductive zero-shot learning

Fengmao Lv, Jianyang Zhang, Guowu Yang, Lei Feng, Yufeng Yu, Lixin Duan

Abstract: Highlights•We propose to address ZSL as a standard domain adaptation task.•A novel domain-specific batch normalization component is proposed to align domain gaps in semantic-visual fusions.•Extensive experiments show the effectiveness and robustness of our approach.