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acoustic-images-distillation's Introduction

This repository contains code for the paper:

Audio-Visual Model Distillation Using Acoustic Images. arXiv, 2019.

Requirements

  • Python 2
  • TensorFlow 1.4.0 >=
  • LibROSA 0.6.1 >=

Contents

We provide several scripts and a package with all the necessary classes for training and testing our model. The code is organized in several folders and a couple of main scripts as follows:

  • The codebase folder contains several sub-packages with common code used to train our models.

  • The utils folder contains several utility functions and some scripts to manipulate the data of our audio-visually indicated actions dataset.

  • The main_s1 script is used for training and testing the student and teacher networks from action labels.

  • The main_s2 script is used for training and testing the student networks from the teachers soft predictions and the action labels.

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