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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 241250 of 371 papers

TitleStatusHype
ZoomCount: A Zooming Mechanism for Crowd Counting in Static Images0
Multi-Stream Networks and Ground-Truth Generation for Crowd CountingCode0
A Real-Time Deep Network for Crowd CountingCode0
Few-Shot Scene Adaptive Crowd Counting Using Meta-LearningCode1
Hybrid Graph Neural Networks for Crowd Counting0
PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting0
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and LocalizationCode2
Plug-and-Play Rescaling Based Crowd Counting in Static Images0
AutoScale: Learning to Scale for Crowd Counting and LocalizationCode0
Towards Building a Real Time Mobile Device Bird Counting System Through Synthetic Data Training and Model Compression0
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