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Task Interleaving and Orientation Estimation for High-precision Oriented Object Detection in Aerial Images by Qi Ming; Lingjuan Miao; Zhiqiang Zhou; Junjie Song; Yunpeng Dong; Xue Yang is a Environmental Science article available to read on EtoBox.

What is Task Interleaving and Orientation Estimation for High-precision Oriented Object Detection in Aerial Images about?

Oriented object detection in aerial images has received extensive attention due to its wide range of application scenarios. Although great success has been achieved, current methods still suffer from inferior high-precision detection performance. Firstly, the classification scores cannot truly represent the localization accuracy of the predictions. Secondly, the orientation prediction in these detectors is not accurate enough for high-precision object detection. In this paper, we propose a Task Interleaving and Orientation Estimation Detector (TIOE-Det) for high-quality oriented object detection in aerial images. Specifically, a posterior hierarchical alignment (PHA) label is proposed to optimize the detection pipeline. TIOE-Det adopts PHA label to integrate fine-grained posterior localization guidance into classification task to address the misalignment between classification and localization subtasks. Then, a balanced alignment loss is developed to solve the imbalance localization loss contribution in PHA prediction. Moreover, we propose a progressive orientation estimation (POE) strategy to approximate the orientation of objects with n-ary codes. On this basis, an angular deviat

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Author

Qi Ming; Lingjuan Miao; Zhiqiang Zhou; Junjie Song; Yunpeng Dong; Xue Yang

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Environmental Science (Physical Sciences)