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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 291300 of 371 papers

TitleStatusHype
MAFNet: A Multi-Attention Fusion Network for RGB-T Crowd Counting0
Mask-aware networks for crowd counting0
Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting0
Möbius Transform for Mitigating Perspective Distortions in Representation Learning0
Modeling Noisy Annotations for Crowd Counting0
Motion-guided Non-local Spatial-Temporal Network for Video Crowd Counting0
Multi-channel Deep Supervision for Crowd Counting0
Multi-Level Attentive Convoluntional Neural Network for Crowd Counting0
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting0
Multimodal Crowd Counting with Pix2Pix GANs0
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