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ECCV24 - Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance
Self-Hosting Guide. Learn all about locally hosting (on premises & private web servers) and managing software applications by yourself or your organization. Including Cloud, LLMs, WireGuard, Automa…
Official Implement of CVPR 2022 paper 'Boosting Crowd Counting via Multifaceted Attention'
The official codes of the paper 'Crowd Counting in the Frequency Domain' (published in CVPR-2022) and `Generalized Characteristic Function Loss for Crowd Analysis in the Frequency Domain' (will app…
Implementation of the CSRNet paper (CVPR 18) in keras-tensorflow
[CVPR 2022] Rethinking Spatial Invariance of Convolutional Networks for Object Counting
Displaced Aggregation Units for Convolutional Networks from "Spatially-Adaptive Filter Units for Deep Neural Networks" paper
The sample code for a large-scale crowd counting dataset, NWPU-Crowd.
This is an overview and tutorial about crowd counting. In this repository, you can learn how to estimate number of pedestrians in crowd scenes through computer vision and deep learning.
Red Hat Ansible Certified Content for IBM Z