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Pre-trained Knowledge Distillation Learning for Fine-grained Categorization

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CSE587-NLP

Pre-trained Knowledge Distillation Learning for Fine-grained Categorization

This project contains the below files:

data_utils.py --- dataset and dataloader for CUB-200 and Oxford Flower Dataset

main.py --- the training and test script

baseline.py --- baseline models

model.py --- the implementation of our own model

options.py --- Experiment settings

transformer_networks.py --- the components help to build our own model

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Pre-trained Knowledge Distillation Learning for Fine-grained Categorization

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  • Python 100.0%