maodong2056 / Bottom-Up-TAL-with-MR

Bottom-Up Temporal Action Localization with Mutual Regularization (ECCV2020)

Environment Configuration

1. The code is based on tensorflow 1.5 and python3.5
2. Some required python packages: tqdm, matplotlib, pickle, json,

Data Preparation

We use the features provided by paper CMCS-Temporal-Action-Localization [1]. Download and use merge_feature.py in ./data folder to pre-process the features.

(I3D Features)

[1] Liu D, Jiang T, Wang Y. Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019: 1298-1307.

Training and Testing

step 1: Obtain the proposal results w/o additional proposal scoring.

python main.py

step 2: Obtain the proposal results w/ additional proposal scoring.

python main_pem.py

step 3: Obtain the detection results.

python main_detection.py

Citation

Please cite our paper if you use this code in your research: