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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 5160 of 371 papers

TitleStatusHype
Regressor-Segmenter Mutual Prompt Learning for Crowd Counting0
Learning Discriminative Features for Crowd Counting0
Counting Manatee Aggregations using Deep Neural Networks and Anisotropic Gaussian KernelCode0
Deep Imbalanced Regression via Hierarchical Classification Adjustment0
Semi-Supervised Crowd Counting with Contextual Modeling: Facilitating Holistic Understanding of Crowd ScenesCode1
Crowd Counting in Harsh Weather using Image Denoising with Pix2Pix GANs0
SYRAC: Synthesize, Rank, and CountCode0
Boosting Detection in Crowd Analysis via Underutilized Output FeaturesCode1
Point-Query Quadtree for Crowd Counting, Localization, and MoreCode1
Calibrating Uncertainty for Semi-Supervised Crowd Counting0
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