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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 171180 of 371 papers

TitleStatusHype
Detection, Tracking, and Counting Meets Drones in Crowds: A BenchmarkCode1
Deep learning with self-supervision and uncertainty regularization to count fish in underwater imagesCode1
Motion-guided Non-local Spatial-Temporal Network for Video Crowd Counting0
Dense Point Prediction: A Simple Baseline for Crowd Counting and LocalizationCode1
Towards Adversarial Patch Analysis and Certified Defense against Crowd CountingCode0
TransCrowd: weakly-supervised crowd counting with transformersCode1
Multi-Scale Context Aggregation Network with Attention-Guided for Crowd CountingCode0
Leveraging Self-Supervision for Cross-Domain Crowd CountingCode1
Multi-channel Deep Supervision for Crowd Counting0
Focal Inverse Distance Transform Maps for Crowd LocalizationCode1
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