/LGGP

Local-Global Graph Pooling via Mutual Information Maximization for Video-Paragraph Retrieval

Primary LanguagePython

Local-Global Graph Pooling via Mutual Information Maximization for Video-Paragraph Retrieval

This code contains PyTorch implementation of the paper "Local-Global Graph Pooling via Mutual Information Maximization for Video-Paragraph Retrieval", which has been accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). image

Requirements

Python 3.6 and PyTorch 1.6.

Install required packages using the environment.yml file.

conda env create -f environment.yml

Datasets

ActivityNet Captions, Youcook2 with ImageNet/Kinetics Features, and Youcook2 with Howto100m features are used in our experiments.

Acknownledgements

Our code is based on the implementations of HGR(CVPR2020) and COOT(NeurIPS2020).