Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges

In he past decade, object detection has achieved significant progress in natural images but not in aerial images, due to the massive variations in the scale and orientation of objects caused by the bird's-eye view of aerial images. More importantly, the lack of large-scale benchmarks has become...

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Bibliographic Details
Published in:	IEEE transactions on pattern analysis and machine intelligence Vol. 44; no. 11; pp. 7778 - 7796
Main Authors:	Ding, Jian, Xue, Nan, Xia, Gui-Song, Bai, Xiang, Yang, Wen, Yang, Michael Ying, Belongie, Serge, Luo, Jiebo, Datcu, Mihai, Pelillo, Marcello, Zhang, Liangpei
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.11.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	aerial images Aerial patrol Algorithms Annotations benchmark dataset Benchmarks Codes Datasets Earth Libraries Object detection Object recognition oriented object detection remote sensing Software Software algorithms Task analysis Websites
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online Access:	Get full text
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