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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 7180 of 371 papers

TitleStatusHype
CrowdVLM-R1: Expanding R1 Ability to Vision Language Model for Crowd Counting using Fuzzy Group Relative Policy RewardCode1
Few-shot Object Counting with Similarity-Aware Feature EnhancementCode1
Localization in the Crowd with Topological ConstraintsCode1
Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark MethodCode1
Backdoor Attacks on Crowd CountingCode1
Multiscale Crowd Counting and Localization By Multitask Point SupervisionCode1
Progressive Multi-resolution Loss for Crowd CountingCode1
Counting People by Estimating People FlowsCode1
AdaCrowd: Unlabeled Scene Adaptation for Crowd CountingCode1
Rethinking Spatial Invariance of Convolutional Networks for Object CountingCode1
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