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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 301–310 of 371 papers

TitleStatusHype
CODA: Counting Objects via Scale-aware Adversarial Density AdaptionCode0
Crowd Counting with Decomposed Uncertainty—0
DeepCount: Crowd Counting with WiFi via Deep Learning—0
Learning from Synthetic Data for Crowd Counting in the Wild—0
Crowd Counting Using Scale-Aware Attention Networks—0
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network—0
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to RankCode0
Dual Path Multi-Scale Fusion Networks with Attention for Crowd CountingCode0
Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale UpsamplingCode0
Multi-Scale Attention Network for Crowd Counting—0
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