• Corpus ID: 244954810

Progressive Multi-stage Interactive Training in Mobile Network for Fine-grained Recognition

@article{Wu2021ProgressiveMI,
  title={Progressive Multi-stage Interactive Training in Mobile Network for Fine-grained Recognition},
  author={Zhenxin Wu and Qingliang Chen and Yifeng Liu and Yinqi Zhang and Chengkai Zhu and Yang Yu},
  journal={ArXiv},
  year={2021},
  volume={abs/2112.04223}
}
Fine-grained Visual Classification (FGVC) aims to identify objects from subcategories. It is a very challenging task because of the subtle inter-class differences. Existing research applies large-scale convolutional neural networks or visual transformers as the feature extractor, which is extremely computationally expensive. In fact, real-world scenarios of fine-grained recognition often require a more lightweight mobile network that can be utilized offline. However, the fundamental mobile… 

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