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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 110 of 371 papers

TitleStatusHype
Inception-Based Crowd Counting -- Being Fast while Remaining AccurateCode4
Towards Automatic Power Battery Detection: New Challenge Benchmark Dataset and BaselineCode3
Single Domain Generalization for Crowd CountingCode2
Improving Point-based Crowd Counting and Localization Based on Auxiliary Point GuidanceCode2
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise ClassificationCode2
Towards Automatic Power Battery Detection: New Challenge, Benchmark Dataset and BaselineCode2
HumanBench: Towards General Human-centric Perception with Projector Assisted PretrainingCode2
CNN-based Density Estimation and Crowd Counting: A SurveyCode2
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and LocalizationCode2
Adaptive Mixture Regression Network with Local Counting Map for Crowd CountingCode1
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