Scale adaptive image cropping for UAV object detection-Reference-Cited by-同舟云学术

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Scale adaptive image cropping for UAV object detection

Published:2019-11 Issue: Volume:366 Page:305-313
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Zhou Jingkai^ORCID,Vong Chi-Man,Liu Qiong,Wang Zhenyu

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference42 articles.

1. Imagenet: a large-scale hierarchical image database;Deng,2009

2. Microsoft coco: common objects in context;Lin,2014

3. P. Zhu, L. Wen, X. Bian, L. Haibin, Q. Hu, Vision meets drones: a challenge, arXiv:1804.07437 (2018).

4. Hypernet: towards accurate region proposal generation and joint object detection;Kong,2016

5. What can help pedestrian detection?;Mao,2017

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2. Applications of GANs to Aid Target Detection in SAR Operations: A Systematic Literature Review;Drones;2024-08-31

3. AIGDet: Altitude-Information-Guided Vehicle Target Detection in UAV-Based Images;IEEE Sensors Journal;2024-07-15

4. OB-YOLO: A UAV Image Detection Model for Reducing Computational Resource Consumption;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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