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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 151160 of 371 papers

TitleStatusHype
Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City ApplicationsCode0
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to RankCode0
Deep Density-aware Count RegressorCode0
Adaptive Scenario Discovery for Crowd CountingCode0
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density EstimationCode0
Flexible Heteroscedastic Count Regression with Deep Double Poisson NetworksCode0
DAFE-FD: Density Aware Feature Enrichment for Face Detection0
Curriculum for Crowd Counting -- Is it Worthy?0
Cumulative Attribute Space for Age and Crowd Density Estimation0
Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network0
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