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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 111–120 of 371 papers

TitleStatusHype
C^3 Framework: An Open-source PyTorch Code for Crowd CountingCode0
Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale UpsamplingCode0
Crowd Counting on Images with Scale Variation and Isolated ClustersCode0
Image Crowd Counting Using Convolutional Neural Network and Markov Random FieldCode0
Improved Knowledge Distillation for Crowd Counting on IoT DeviceCode0
Improving Local Features with Relevant Spatial Information by Vision Transformer for Crowd CountingCode0
Multi-Stream Networks and Ground-Truth Generation for Crowd CountingCode0
Perspective-Guided Convolution Networks for Crowd CountingCode0
Residual Regression With Semantic Prior for Crowd CountingCode0
Flexible Heteroscedastic Count Regression with Deep Double Poisson NetworksCode0
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