Colar: Effective and Efficient Online Action Detection by Consulting Exemplars, CVPR 2022
![](https://www.deeplearningdaily.com/wp-content/uploads/2022/03/colar-effective-and-efficient-online-action-detection-by-consulting-exemplars-cvpr-2022_622a77f489519-375x210.jpeg)
This repository is the official implementation of Colar. In this work, we study the online action detection and develop an effective and efficient exemplar-consultation mechanism. Paper from arXiv.
Requirements
To install requirements:
conda env create -n env_name -f environment.yaml
Before running the code, please activate this conda environment.
Data Preparation
a. Download pre-extracted features from baiduyun (code:cola)
Please ensure the data structure is as below
├── data
└── thumos14