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A PyTorch implementation for Convolutional Hierarchical Attention Network for Query-Focused Video Summarization

Home Page: https://doi.org/10.1609/aaai.v34i07.6929

Python 12.60% MATLAB 54.58% HTML 32.82%

aaai2020's Introduction

Convolutional Hierarchical Attention Network for Query-Focused Video Summarization

code for Convolutional Hierarchical Attention Network for Query-Focused Video Summarization，which is accepted by AAAI 2020 conference.

arXiv paper

Prerequisites

  • Python 3.5
  • PyTorch 1.4.0
  • matlab.engine (Install MATLAB Engine API for Python here)
  • gensim
  • h5py

Run

  1. download and unzip glove.840B.300d.zip and place it at ./data/glove.bin
  2. download and unzip UTC_feature.zip and place it at ./data/
  3. (optional) modify json file in config folder for experimental setting
  4. python main.py

aaai2020's People

Contributors

ckczzj avatar

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