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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 101–110 of 371 papers

TitleStatusHype
Crowd Counting via Perspective-Guided Fractional-Dilation ConvolutionCode0
Car Object Counting and Position Estimation via Extension of the CLIP-EBC FrameworkCode0
Improving Object Counting with Heatmap RegulationCode0
Crowd Counting via Adversarial Cross-Scale Consistency PursuitCode0
Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale UpsamplingCode0
Locality-constrained Spatial Transformer Network for Video Crowd CountingCode0
Improving Local Features with Relevant Spatial Information by Vision Transformer for Crowd CountingCode0
Image Crowd Counting Using Convolutional Neural Network and Markov Random FieldCode0
C^3 Framework: An Open-source PyTorch Code for Crowd CountingCode0
Improved Knowledge Distillation for Crowd Counting on IoT DeviceCode0
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