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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 141150 of 371 papers

TitleStatusHype
Scene-Adaptive Attention Network for Crowd Counting0
Towards More Effective PRM-based Crowd Counting via A Multi-resolution Fusion and Attention Network0
Panoptic Segmentation: A ReviewCode1
PANet: Perspective-Aware Network with Dynamic Receptive Fields and Self-Distilling Supervision for Crowd Counting0
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines0
Vicinal Counting Networks0
CCTrans: Simplifying and Improving Crowd Counting with TransformerCode1
Harnessing Perceptual Adversarial Patches for Crowd CountingCode1
Audio-Visual Transformer Based Crowd Counting0
Semi-Supervised Crowd Counting from Unlabeled Data0
Show:102550
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