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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 131–140 of 371 papers

TitleStatusHype
Deep Imbalanced Regression via Hierarchical Classification Adjustment—0
Crowd Counting in Harsh Weather using Image Denoising with Pix2Pix GANs—0
SYRAC: Synthesize, Rank, and CountCode0
Calibrating Uncertainty for Semi-Supervised Crowd Counting—0
Improved Knowledge Distillation for Crowd Counting on IoT DeviceCode0
Counting Crowds in Bad Weather—0
Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement—0
Why Existing Multimodal Crowd Counting Datasets Can Lead to Unfulfilled Expectations in Real-World Applications—0
Crowd Counting with Sparse Annotation—0
Trap-Based Pest Counting: Multiscale and Deformable Attention CenterNet Integrating Internal LR and HR Joint Feature Learning—0
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