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Towards-Diverse-Temporal-Grounding-under-Single-Positive-Labels

This repository contains the revised pytorch codes in our paper "Towards Diverse Temporal Grounding under Single Positive Labels".

Installation

Requirement

  • anaconda

1.install dependencies

conda env create -f environment.yml
conda activate DTG-SPL
wget https://github.com/explosion/spacy-models/releases/download/en_core_web_lg-3.0.0/en_core_web_lg-3.0.0.tar.gz
pip install en_core_web_lg-3.0.0.tar.gz

2.download datasets

  • download data from Google Driver and unzip it to the DTG-SPL/data folder.

3.training for Charades-STA

cd $INSTALL_DIR
cd ablations
python train_charades_i3d.py