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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 221–230 of 371 papers

TitleStatusHype
Regressor-Segmenter Mutual Prompt Learning for Crowd Counting—0
Reinforcing Local Feature Representation for Weakly-Supervised Dense Crowd Counting—0
Relational Attention Network for Crowd Counting—0
Relevant Region Prediction for Crowd Counting—0
Revisiting Crowd Counting: State-of-the-art, Trends, and Future Perspectives—0
Revisiting Perspective Information for Efficient Crowd Counting—0
Robust Regression via Deep Negative Correlation Learning—0
Robust Zero-Shot Crowd Counting and Localization With Adaptive Resolution SAM—0
Semi-Supervised Crowd Counting from Unlabeled Data—0
Multi-Scale Attention Network for Crowd Counting—0
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