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Crowd Counting

Crowd Counting is a task to count people in image. It is mainly used in real-life for automated public monitoring such as surveillance and traffic control. Different from object detection, Crowd Counting aims at recognizing arbitrarily sized targets in various situations including sparse and cluttering scenes at the same time.

Source: Deep Density-aware Count Regressor

Papers

Showing 101110 of 371 papers

TitleStatusHype
Semi-supervised Crowd Counting via Density AgencyCode1
A Spatio-Temporal Attentive Network for Video-Based Crowd Counting0
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training0
MAFNet: A Multi-Attention Fusion Network for RGB-T Crowd Counting0
Multi-scale Feature Aggregation for Crowd Counting0
Redesigning Multi-Scale Neural Network for Crowd CountingCode1
Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City ApplicationsCode0
Discrete-Constrained Regression for Local Counting ModelsCode0
The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network0
Backdoor Attacks on Crowd CountingCode1
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