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SBIR (Sketch-based Icon retrieval)

Python 15.08% Jupyter Notebook 84.92%
deep learning cbir sbir classification triplet autoencoder sketch icon

sketch-to-icon-paper-code's Introduction

Sketch-to-Icon Paper Code

This repo contains the full code of my Sketch-to-Icon thesis project.

The main topic is SBIR (Sketch based image retrieval) and Neural Networks. The two main goals of the project are:

  • find an effective CBIR method;
  • fill the draw-icon gap.

3 methods are assessed:

  • draws and edge-extracted icons (Classification Neural Network and Autoencoder);
  • half-shared weights (Triplet network);
  • mixed dataset (Classification Neural Network)

3 network architectures are assessed:

  • "simple" CNN;
  • Mobilenet v1;
  • Resnet-50.

Development

The project is developed thanks to Google's Colab platform.

sketch-to-icon-paper-code's People

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sketch-to-icon-paper-code's Issues

How to use it

could you tell me which one should start first and then how to use the code

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