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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 211220 of 371 papers

TitleStatusHype
Plug-and-Play Rescaling Based Crowd Counting in Static Images0
Point in, Box out: Beyond Counting Persons in Crowds0
POPCat: Propagation of particles for complex annotation tasks0
ProgRoCC: A Progressive Approach to Rough Crowd Counting0
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks0
Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method0
Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization0
Recurrent Distillation based Crowd Counting0
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting0
Region-Aware Network: Model Human's Top-Down Visual Perception Mechanism for Crowd Counting0
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