Improved STNNet, A benchmark for detection, tracking, and counting crowds using Drones-Reference-Cited by-同舟云学术

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Improved STNNet, A benchmark for detection, tracking, and counting crowds using Drones

Published:2024-12 Issue: Volume:13 Page:102820
ISSN:2215-0161
Container-title:MethodsX
language:en
Short-container-title:MethodsX

Author:

Nazeer Mohd,Sharma Kanhaiya^ORCID,Sathappan S.,Srilatha Pulipati,Mohammed Arshad Ahmad Khan

Publisher

Elsevier BV

Reference16 articles.

1. Cascade-guided multi-scale attention network for crowd counting;Li;Signal Image Video Process,2021

2. Single-image crowd counting via multi-column convolutional neural network;Zhang,2016

3. Bayesian loss for crowd count estimation with point supervision;Ma,2019

4. Nwpu-crowd: a large-scale benchmark for crowd counting and localization;Wang,2020

5. Spatiotemporal modeling for crowd counting in videos;Xiong;in ICCV,2017

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1. Corrigendum to “Improved STNNet, A benchmark for detection, tracking, and counting crowds using Drones” [MethodsX 13 (2024) 1-7/102820];MethodsX;2024-12

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