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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 6170 of 371 papers

TitleStatusHype
DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd CountingCode1
Improved Knowledge Distillation for Crowd Counting on IoT DeviceCode0
ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary TransformerCode1
Counting Crowds in Bad Weather0
Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement0
CLIP-Count: Towards Text-Guided Zero-Shot Object CountingCode1
Why Existing Multimodal Crowd Counting Datasets Can Lead to Unfulfilled Expectations in Real-World Applications0
Crowd Counting with Sparse Annotation0
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language ModelCode1
Trap-Based Pest Counting: Multiscale and Deformable Attention CenterNet Integrating Internal LR and HR Joint Feature Learning0
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