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

Zhanqiang Huo; Chunxin Yuan; Kunwei Zhang; Yingxu Qiao; Fen Luo

doi:10.1016/j.patrec.2025.08.005

ScienceGate Book Chapters

JOURNAL ARTICLE

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

Zhanqiang Huo Chunxin Yuan Kunwei Zhang Yingxu Qiao Fen Luo

Year: 2025 Journal: Pattern Recognition Letters Vol: 197 Pages: 297-303 Publisher: Elsevier BV

DOI: 10.1016/j.patrec.2025.08.005

Get Full-Text PDF Get Analytical Report

Keywords:

Bridging (networking) Computer science Scale (ratio) Artificial intelligence Pattern recognition (psychology) Computer vision Geography Cartography Computer network

Metrics

Cited By

4.77

FWCI (Field Weighted Citation Impact)

Refs

0.88

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

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

Metrics

Citation History

Topics

Related Documents

PVT-Crowd: Bridging Multi-scale Features from Pyramid Vision Transformer for Weakly-Supervised Crowd Counting

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

Weakly Supervised Crowd-Wise Attention For Robust Crowd Counting

Multi‐scale supervised network for crowd counting

Hypergraph Association Weakly Supervised Crowd Counting