# AlphAction **Repository Path**: zzb32/AlphAction ## Basic Information - **Project Name**: AlphAction - **Description**: Spatio-Temporal Action Localization System - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-10-19 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # AlphAction AlphAction aims to detect the actions of multiple persons in videos. It is **the first open-source project that achieves 30+ mAP (32.4 mAP) with single model on AVA dataset.** This project is the official implementation of paper [Asynchronous Interaction Aggregation for Action Detection](https://arxiv.org/abs/2004.07485) (**ECCV 2020**), authored by Jiajun Tang*, Jin Xia* (equal contribution), Xinzhi Mu, [Bo Pang](https://bopang1996.github.io/), [Cewu Lu](http://mvig.sjtu.edu.cn/) (corresponding author).
demo1 demo2
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## Demo Video [![AlphAction demo video](https://user-images.githubusercontent.com/22748802/94115680-a83a1500-fe7c-11ea-878c-536db277fba7.jpg)](https://www.youtube.com/watch?v=TdGmbOJ9hoE "AlphAction demo video") [[YouTube]](https://www.youtube.com/watch?v=TdGmbOJ9hoE) [[BiliBili]](https://www.bilibili.com/video/BV14A411J7Xv) ## Installation You need first to install this project, please check [INSTALL.md](INSTALL.md) ## Data Preparation To do training or inference on AVA dataset, please check [DATA.md](DATA.md) for data preparation instructions. ## Model Zoo Please see [MODEL_ZOO.md](MODEL_ZOO.md) for downloading models. ## Training and Inference To do training or inference with AlphAction, please refer to [GETTING_STARTED.md](GETTING_STARTED.md). ## Demo Program To run the demo program on video or webcam, please check the folder [demo](demo). We select 15 common categories from the 80 action categories of AVA, and provide a practical model which achieves high accuracy (about 70 mAP) on these categories. ## Acknowledgement We thankfully acknowledge the computing resource support of Huawei Corporation for this project. ## Citation If this project helps you in your research or project, please cite this paper: ``` @inproceedings{tang2020asynchronous, title={Asynchronous Interaction Aggregation for Action Detection}, author={Tang, Jiajun and Xia, Jin and Mu, Xinzhi and Pang, Bo and Lu, Cewu}, booktitle={Proceedings of the European conference on computer vision (ECCV)}, year={2020} } ```