[ICCV 2023] Point-Query Quadtree for Crowd Counting, Localization, and More
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Updated
May 16, 2024 - Python
[ICCV 2023] Point-Query Quadtree for Crowd Counting, Localization, and More
This repository performs crowd counting inference using a pre-trained ONNX model. Input an image to estimate head localization in crowded scenes.
Using transfer learning on pretrained image models to learn density map generation and count the number of people in an image.
The code for our ECCV 2020 paper: Estimating People Flows to Better Count Them in Crowded Scenes
Multi-level Attention Refined UNet for crowd counting
This is the implementation of paper "A Multi-Scale and Multi-level Feature Aggregation Network for Crowd Counting"
Single Image Crowd Counting via MCNN (Unofficial Implementation)
Crowd counting on the ShanghaiTech dataset, using multi-column convolutional neural networks.
Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)
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