Skip to content

The Code for ICME2019 Grand Challenge: Short Video Understanding (Single Model Ranks 6th)

Notifications You must be signed in to change notification settings

xibinyue/ICME2019-CTR

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Introduction

Implement of the paper "Multi-modal Representation Learning for Short Video Understanding and Recommendation"

Short Video Understanding Challenge

Introduction of ICME2019 Grand Challenge refers to the website

1. Requirement

  • scikit-learn

  • tqdm

  • pandas

  • numpy

  • scipy

  • tensorFlow=1.12.0 (≥1.4 and ≠1.5 or 1.6)

  • 128G memory and 1 GPU

2. Download Dataset

cd data
bash download.sh
cd ..

3. Preprocess data

python preprocess.py

4. Extract features

python extract_features.py

5.Convert format of data

python convert_format.py

6. Train the model

python run.py

About

The Code for ICME2019 Grand Challenge: Short Video Understanding (Single Model Ranks 6th)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 96.4%
  • Perl 2.8%
  • Shell 0.8%