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[ISPRS&RS 2023]Official implementation of "Task Interleaving and Orientation Estimation for High-Precision Oriented Object Detection in Aerial Images".
This project hosts the official implementation for the paper:
Task Interleaving and Orientation Estimation for High-Precision Oriented Object Detection in Aerial Images
[URL][PDF][BibTex]
( accepted by ISPRS Journal of Photogrammetry and Remote Sensing).
Abstract
In this paper, we propose a Task Interleaving and Orientation Estimation Detector for high-quality oriented object detection in aerial images. Specifically, a posterior hierarchical alignment (PHA) indicator is proposed to optimize the detection pipeline. TIOE-Det adopts PHA indicator 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 deviation weighting strategy is proposed to achieve accurate evaluation of angle deviation in POE strategy.
If you find our work or code useful in your research, please consider citing:
@article{MING2023241,
title={Task interleaving and orientation estimation for high-precision oriented object detection in aerial images},
author={Qi Ming and Lingjuan Miao and Zhiqiang Zhou and Junjie Song and Yunpeng Dong and Xue Yang},
journal={ISPRS Journal of Photogrammetry and Remote Sensing},
volume={196},
pages={241-255},
year={2023},
issn = {0924-2716},
doi = {https://doi.org/10.1016/j.isprsjprs.2023.01.001},
}
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[ISPRS&RS 2023]Official implementation of "Task Interleaving and Orientation Estimation for High-Precision Oriented Object Detection in Aerial Images".