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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

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Showing 181–190 of 371 papers

TitleStatusHype
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 Counting—0
BBA-net: A bi-branch attention network for crowd counting—0
Enhancing and Dissecting Crowd Counting By Synthetic Data—0
Scene-Adaptive Attention Network for Crowd Counting—0
Towards More Effective PRM-based Crowd Counting via A Multi-resolution Fusion and Attention Network—0
PANet: Perspective-Aware Network with Dynamic Receptive Fields and Self-Distilling Supervision for Crowd Counting—0
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines—0
Vicinal Counting Networks—0
Audio-Visual Transformer Based Crowd Counting—0
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