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  1. No Access

    Chapter and Conference Paper

    Exploring Category-Shared and Category-Specific Features for Fine-Grained Image Classification

    The attention mechanism is one of the most vital branches to solve fine-grained image classification (FGIC) tasks, while most existing attention-based methods only focus on inter-class variance and barely mode...

    Haoyu Wang, DongLiang Chang, Weidong Liu… in Pattern Recognition and Computer Vision (2021)

  2. No Access

    Chapter and Conference Paper

    Fine-Grained Visual Classification via Progressive Multi-granularity Training of Jigsaw Patches

    Fine-grained visual classification (FGVC) is much more challenging than traditional classification tasks due to the inherently subtle intra-class object variations. Recent works are mainly part-driven (either ...

    Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang **e… in Computer Vision – ECCV 2020 (2020)

  3. No Access

    Chapter and Conference Paper

    Channel Max Pooling for Image Classification

    A problem of deep convolutional neural networks is that the channel numbers of the feature maps often increases with the depth of the network. This problem can result in a dramatic increase in the number of pa...

    Lu Cheng, Dongliang Chang, Jiyang **e… in Intelligence Science and Big Data Engineer… (2019)