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    Article

    Zero-shot classification with unseen prototype learning

    Zero-shot learning (ZSL) aims at recognizing instances from unseen classes via training a classification model with only seen data. Most existing approaches easily suffer from the classification bias from unse...

    Zhong Ji, Biying Cui, Yunlong Yu, Yanwei Pang in Neural Computing and Applications (2023)

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    Chapter and Conference Paper

    Cross-Modal Retrieval with Discriminative Dual-Path CNN

    Cross-modal retrieval aims at searching semantically similar examples in one modality by using a query from another modality. Its typical applications including image-based text retrieval (IBTR) and text-based...

    Haoran Wang, Zhong Ji, Yanwei Pang in Advances in Multimedia Information Process… (2018)

  3. Chapter and Conference Paper

    Zero-Shot Learning with Deep Canonical Correlation Analysis

    Zero-shot learning (ZSL) improves the scalability of conventional image classification systems by allowing some testing categories having no training data. One key component is to learn a shared embedding spac...

    Zhong Ji, Xuejie Yu, Yanwei Pang in Computer Vision (2017)

  4. No Access

    Chapter and Conference Paper

    Balance between Diversity and Relevance for Image Search Results

    Image search reranking has received great attention since it overcomes the drawback of “only textual features utilization” in nowadays web-scale image search engines. Most of existing methods focus on relevanc...

    Zhong Ji, **g Li, Yuting Su, Yuqing He in Intelligent Science and Intelligent Data E… (2013)