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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
Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd CountingCode1
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd CountingCode1
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation0
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting0
Congested Crowd Instance Localization with Dilated Convolutional Swin TransformerCode1
Cascaded Residual Density Network for Crowd Counting0
Spatial Uncertainty-Aware Semi-Supervised Crowd CountingCode1
Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network0
Rethinking Counting and Localization in Crowds:A Purely Point-Based FrameworkCode1
Uniformity in Heterogeneity:Diving Deep into Count Interval Partition for Crowd CountingCode1
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