Colar: Effective and Efficient Online Action Detection by Consulting Exemplars, CVPR 2022
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