TBNet: A texture and boundary-aware network for small weak object detection in remote-sensing imagery-Reference-Cited by-同舟云学术

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TBNet: A texture and boundary-aware network for small weak object detection in remote-sensing imagery

Published:2025-02 Issue: Volume:158 Page:110976
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Li Zheng^ORCID,Wang Yongcheng^ORCID,Xu Dongdong^ORCID,Gao Yunxiao^ORCID,Zhao Tianqi^ORCID

Publisher

Elsevier BV

Reference70 articles.

1. Object detection in aerial images: A large-scale benchmark and challenges;Ding;IEEE Trans. Pattern Anal. Mach. Intell.,2022

2. Deep learning-based object detection techniques for remote sensing images: A survey;Li;Remote Sens.,2022

3. Deep-NFA: A deep a contrario framework for tiny object detection;Ciocarlan;Pattern Recognit.,2024

4. Fast detection of multiple objects in traffic scenes with a common detection framework;Hu;IEEE Trans. Intell. Transp. Syst.,2016

5. Object detection in aerial images using a multiscale keypoint detection network;Su;IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens.,2021

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