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Context-aware attention pooling for fine-grained visual classification

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Implementing Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification

baseline_tests.ipynb corresponds to the four baseline experiments

main_code.ipynb corresponds to the CAP implementation and training

The model for Baseline 1 can be found here: https://drive.google.com/file/d/1oEVQ5KoaCKhwsXAj7YpwCPSX-NIZ8pFy/view?usp=share_link

The model for Baseline 2 can be found here: https://drive.google.com/file/d/1EFi2BcCVH3NR0DKZpyPrPmmslsAYEoWt/view?usp=share_link

The model for Baseline 3 can be found here: https://drive.google.com/file/d/1uBl3Pv9_rUhUV-sKLXHQycw9aKGcm_N-/view?usp=share_link

The model for Baseline 4 can be found here: https://drive.google.com/file/d/1--0jbLl0EU88TQUyUkXzsjD6EWVFmqVJ/view?usp=share_link

The model for the CAP implementation is stored in model_49.hd5

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