Learning Crowd Scale and Distribution for Weakly Supervised Crowd Counting and Localization

Y. L. Fan; Jia Wan; J. Andy

doi:10.1109/tcsvt.2024.3460482

ScienceGate Book Chapters

JOURNAL ARTICLE

Learning Crowd Scale and Distribution for Weakly Supervised Crowd Counting and Localization

Y. L. Fan Jia Wan J. Andy

Year: 2024 Journal: IEEE Transactions on Circuits and Systems for Video Technology Vol: 35 (1)Pages: 713-727 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tcsvt.2024.3460482

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Scale (ratio) Artificial intelligence Pattern recognition (psychology) Mathematics Geography

Metrics

Cited By

1.87

FWCI (Field Weighted Citation Impact)

Refs

0.77

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Evacuation and Crowd Dynamics

Physical Sciences → Engineering → Ocean Engineering

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Learning Crowd Scale and Distribution for Weakly Supervised Crowd Counting and Localization

Metrics

Citation History

Topics

Related Documents

Weakly Supervised Crowd-Wise Attention For Robust Crowd Counting

Hypergraph Association Weakly Supervised Crowd Counting

Application of improved transformer based on weakly supervised in crowd localization and crowd counting

VMamba-Crowd: Bridging multi-scale features from Visual Mamba for weakly-supervised crowd counting

TransCrowd: weakly-supervised crowd counting with transformers