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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 131140 of 371 papers

TitleStatusHype
FusionCount: Efficient Crowd Counting via Multiscale Feature FusionCode1
Reinforcing Local Feature Representation for Weakly-Supervised Dense Crowd Counting0
Multiscale Crowd Counting and Localization By Multitask Point SupervisionCode1
TAFNet: A Three-Stream Adaptive Fusion Network for RGB-T Crowd CountingCode0
A Unified Multi-Task Learning Framework of Real-Time Drone Supervision for Crowd Counting0
Enhancing and Dissecting Crowd Counting By Synthetic Data0
Few-shot Object Counting with Similarity-Aware Feature EnhancementCode1
BBA-net: A bi-branch attention network for crowd counting0
Deep Rank-Consistent Pyramid Model for Enhanced Crowd CountingCode1
Crowd Counting in the Frequency DomainCode1
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