LST-GCN

This is the implementation of "Anticipating Future Relations via Graph Growing for Action Prediction'' using PyTorch.

Environment: Python 3.6 and PyTorch 0.4.1

Example:

​ Sth-v1
​ 1.phase1：
​ function：zns_sthv1_only_reasoning.py
​ model：zns_sthv1_only_reasoning_model.py
​ 2.phase2：
​ function：zns_sthv1_phase2.py
​ model：zns_sthv1_phase2_model.py

​ UCF-101
​ 1.phase1：
​ function：zns_ucf101_only_reasoning.py
​ model：zns_ucf101_only_reasoning_model.py
​ 2.phase2：
​ function：zns_ucf101_phase2.py
​ model：zns_ucf101_phase2_model.py

Citation

@inproceedings{wu2021action,
  author    = {Xinxiao Wu and Jianwei Zhao and Ruiqi Wang},
  title     = {Anticipating Future Relations via Graph Growing for Action Prediction},
  booktitle = {The Thirty-Fifth {AAAI} Conference on Artificial Intelligence, {AAAI} 2021},
  pages     = {online},
  publisher = {{AAAI} Press},
  year      = {2021},
}