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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 76–100 of 371 papers

TitleStatusHype
Weighing Counts: Sequential Crowd Counting by Reinforcement LearningCode1
Exploit the potential of Multi-column architecture for Crowd CountingCode1
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme ConditionsCode1
Adaptive Mixture Regression Network with Local Counting Map for Crowd CountingCode1
Neuron Linear Transformation: Modeling the Domain Shift for Crowd CountingCode1
Efficient Crowd Counting via Structured Knowledge TransferCode1
Encoder-Decoder Based Convolutional Neural Network with Multi-Scale-Aware Modules for Crowd CountingCode1
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd CountingCode1
Few-Shot Scene Adaptive Crowd Counting Using Meta-LearningCode1
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention NetworkCode1
From Open Set to Closed Set: Counting Objects by Spatial Divide-and-ConquerCode1
Densely Connected Convolutional NetworksCode1
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image SegmentationCode1
Car Object Counting and Position Estimation via Extension of the CLIP-EBC FrameworkCode0
Point-to-Region Loss for Semi-Supervised Point-Based Crowd CountingCode0
Crowd Scene Analysis using Deep Learning Techniques—0
Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization NetworkCode0
A Short Overview of Multi-Modal Wi-Fi Sensing—0
Adept: Annotation-Denoising Auxiliary Tasks with Discrete Cosine Transform Map and Keypoint for Human-Centric Pretraining—0
ProgRoCC: A Progressive Approach to Rough Crowd Counting—0
Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd CountingCode0
L2HCount:Generalizing Crowd Counting from Low to High Crowd Density via Density Simulation—0
Consistent-Point: Consistent Pseudo-Points for Semi-Supervised Crowd Counting and Localization—0
EHNet: An Efficient Hybrid Network for Crowd Counting and Localization—0
Video Individual Counting for Moving Drones—0
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