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    Article

    YOLO-MTG: a lightweight YOLO model for multi-target garbage detection

    With wide adoption of deep learning technology in AI, intelligent garbage detection has become a hot research topic. However, existing datasets currently used for garbage detection rarely involves multi-catego...

    Zhongyi **a, Houkui Zhou, Huimin Yu, Haoji Hu… in Signal, Image and Video Processing (2024)

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    Dynamic connection pruning for densely connected convolutional neural networks

    Densely connected convolutional neural networks dominate in a variety of downstream tasks due to their extraordinary performance. However, such networks typically require excessive computing resources, which h...

    **nyi Hu, Hangxiang Fang, Ling Zhang, Xue Zhang, Howard H. Yang… in Applied Intelligence (2023)

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    A unified framework for semi-supervised PU learning

    Traditional supervised classifiers use only labeled data (features/label pairs) as the training set, while the unlabeled data is used as the testing set. In practice, it is often the case that the labeled data...

    Haoji Hu, Chaofeng Sha, **aoling Wang, Aoying Zhou in World Wide Web (2014)