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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 8190 of 371 papers

TitleStatusHype
Gramformer: Learning Crowd Counting via Graph-Modulated TransformerCode1
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd CountingCode1
Exploit the potential of Multi-column architecture for Crowd CountingCode1
Few-shot Object Counting with Similarity-Aware Feature EnhancementCode1
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language ModelCode1
Bi-level Alignment for Cross-Domain Crowd CountingCode1
A Self-Training Approach for Point-Supervised Object Detection and Counting in CrowdsCode1
Multiscale Crowd Counting and Localization By Multitask Point SupervisionCode1
Attention Scaling for Crowd Counting0
Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network0
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