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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 1120 of 371 papers

TitleStatusHype
Bi-level Alignment for Cross-Domain Crowd CountingCode1
Backdoor Attacks on Crowd CountingCode1
Adaptive Mixture Regression Network with Local Counting Map for Crowd CountingCode1
Boosting Crowd Counting via Multifaceted AttentionCode1
Counting People by Estimating People FlowsCode1
Cross-head Supervision for Crowd Counting with Noisy AnnotationsCode1
ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary TransformerCode1
AdaCrowd: Unlabeled Scene Adaptation for Crowd CountingCode1
A Self-Training Approach for Point-Supervised Object Detection and Counting in CrowdsCode1
Congested Crowd Instance Localization with Dilated Convolutional Swin TransformerCode1
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