This is the source code (based on PyTorch and Python3) of the paper: Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning (CVPR2020, oral)
If you are using this work, please cite:
@InProceedings{Yang_2020_CVPR_predicting,
author = {Yang, Zhibo and Huang, Lihan and Chen, Yupei and Wei, Zijun and Ahn, Seoyoung and Samaras, Dimitris and Zelinsky, Gregory and and Hoai, Minh},
title = {Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}- Train a model with
python train.py <hparams> <dataset_root> [--cuda=<id>] - Evaluate a trained model with
python test.py <hparams> <checkpoint_dir> <dataset_root> [--cuda=<id>]
COCO-Search18 dataset will be made available at https://saliency.tuebingen.ai/datasets/COCO-Search18/.
We are working on the release of the dataset, stay tuned!