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cutmix-augmentation

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In this project we use a Lightweight-CNN based model to classify instruments from the Freesound audio data set. We make use of Mel-Spectrogram features from the input audio data as the input to the CNN model. To add robustness to the model, we use a novel data augmentation technique based on the Cut-Mix algorithm.

  • UpdatedSep 21, 2021
  • Jupyter Notebook

Implementation of CutMix Augmentation with Keras.

  • UpdatedJun 14, 2021
  • Jupyter Notebook

Through this project we will try to understand CutMix by implementing it on a simple problem of cat-vs-dog classification.

  • UpdatedDec 6, 2022
  • Jupyter Notebook

This repository contains the code and the report for the coursework of INFR11031 Advanced Vision, a postgraduate course offered at The University of Edinburgh. The task was to train on limited and improve the accuracy of the ResNet-50 classifier on a small subset of the ImageNet dataset containing 50K training images and 50K test images. Achieve…

  • UpdatedJul 2, 2022
  • Jupyter Notebook

Python codes to implement DeMix, a DETR assisted CutMix method for image data augmentation

  • UpdatedJun 7, 2023
  • Python

Image Classification Using Swin Transformer With RandAugment, CutMix, and MixUp

  • UpdatedFeb 29, 2024
  • Jupyter Notebook

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