Using Contrastive Learning and Pseudolabels to learn representations for Retail Product Image Classification

@inproceedings{Srivastava2021UsingCL,
  title={Using Contrastive Learning and Pseudolabels to learn representations for Retail Product Image Classification},
  author={Muktabh Mayank Srivastava},
  booktitle={VISIGRAPP},
  year={2021}
}
Retail product Image classification problems are often few shot classification problems, given retail product classes cannot have the type of variations across images like a cat or dog or tree could have. Previous works have shown different methods to finetune Convolutional Neural Networks to achieve better classification accuracy on such datasets. In this work, we try to address the problem statement : Can we pretrain a Convolutional Neural Network backbone which yields good enough… 
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