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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 26–50 of 371 papers

TitleStatusHype
Few-Shot Scene Adaptive Crowd Counting Using Meta-LearningCode1
Adaptive Mixture Regression Network with Local Counting Map for Crowd CountingCode1
FusionCount: Efficient Crowd Counting via Multiscale Feature FusionCode1
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention NetworkCode1
Harnessing Perceptual Adversarial Patches for Crowd CountingCode1
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language ModelCode1
CLIP-Count: Towards Text-Guided Zero-Shot Object CountingCode1
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd CountingCode1
Crowd Counting in the Frequency DomainCode1
Congested Crowd Instance Localization with Dilated Convolutional Swin TransformerCode1
Cross-head Supervision for Crowd Counting with Noisy AnnotationsCode1
Backdoor Attacks on Crowd CountingCode1
CCTrans: Simplifying and Improving Crowd Counting with TransformerCode1
AdaCrowd: Unlabeled Scene Adaptation for Crowd CountingCode1
ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary TransformerCode1
Deep learning with self-supervision and uncertainty regularization to count fish in underwater imagesCode1
Bi-level Alignment for Cross-Domain Crowd CountingCode1
A Self-Training Approach for Point-Supervised Object Detection and Counting in CrowdsCode1
Boosting Crowd Counting via Multifaceted AttentionCode1
CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion ModelsCode1
Boosting Detection in Crowd Analysis via Underutilized Output FeaturesCode1
Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark MethodCode1
DR.VIC: Decomposition and Reasoning for Video Individual CountingCode1
Efficient Crowd Counting via Structured Knowledge TransferCode1
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme ConditionsCode1
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