This repository contains the pytorch codes and trained models described in the paper "Tree-Structured Policy based Progressive Reinforcement Learning for Temporally Language Grounding in Video" By Jie Wu, Guanbin Li, Si Liu, Liang Lin. Paper

• Python 2.7
• Pytorch 0.4.1
• matplotlib
• The code is for Charades-STA dataset.

Please download the features in Features1, and put it in the "Dataset/Charades" folder.

Please download the TrainingData in TrainingData, and put it in the "Dataset/Charades/ref_info" folder. Please download the TestingData in TestingData, and put it in the "Dataset/Charades/ref_info" folder.

We provide the pre-trained model for Charades-STA dataset, which can get 24.73 on R@1, IoU0.7 and 45.30 on R@1, IoU0.5: Models

python train.py

python val.py

python test.py