Product Image Recognition with Guidance Learning and Noisy Supervision

@article{Li2020ProductIR,
  title={Product Image Recognition with Guidance Learning and Noisy Supervision},
  author={Q. Li and Xiaojiang Peng and L. Cao and Wenbin Du and Hao Xing and Yu Qiao},
  journal={Comput. Vis. Image Underst.},
  year={2020},
  volume={196},
  pages={102963}
}
This paper considers recognizing products from daily photos, which is an important problem in real-world applications but also challenging due to background clutters, category diversities, noisy labels, etc. [...] Key Method Instead of collecting product images by labor-and time-intensive image capturing, we take advantage of the web and download images from the reviews of several e-commerce websites where the images are casually captured by consumers.Expand
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