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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 / No. 4: AAAI-21 Technical Tracks 4

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

February 1, 2023

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Authors

Xue Yang

Department of Computer Science and Engineering, Shanghai Jiao Tong University MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University


Junchi Yan

Department of Computer Science and Engineering, Shanghai Jiao Tong University MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University


Ziming Feng

China Merchants Bank Credit Card Center


Tao He

Anhui COWAROBOT CO., Ltd. Anhui Provincial Key Laboratory of Multimodal Cognitive Computation


DOI:

10.1609/aaai.v35i4.16426


Abstract:

Rotation detection is a challenging task due to the difficulties of locating the multi-angle objects and separating them effectively from the background. Though considerable progress has been made, for practical settings, there still exist challenges for rotating objects with large aspect ratio, dense distribution and category extremely imbalance. In this paper, we propose an end-to-end refined single-stage rotation detector for fast and accurate object detection by using a progressive regression approach from coarse to fine granularity. Considering the shortcoming of feature misalignment in existing refined single-stage detector, we design a feature refinement module to improve detection performance by getting more accurate features. The key idea of feature refinement module is to re-encode the position information of the current refined bounding box to the corresponding feature points through pixel-wise feature interpolation to realize feature reconstruction and alignment. For more accurate rotation estimation, an approximate SkewIoU loss is proposed to solve the problem that the calculation of SkewIoU is not derivable. Experiments on three popular remote sensing public datasets DOTA, HRSC2016, UCAS-AOD as well as one scene text dataset ICDAR2015 show the effectiveness of our approach. The source code is available at https://github.com/Thinklab-SJTU/R3Det_Tensorflow and is also integrated in our open source rotation detection benchmark: https://github.com/yangxue0827/RotationDetection.

Topics: AAAI

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HOW TO CITE:

Xue Yang||Junchi Yan||Ziming Feng||Tao He R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object Proceedings of the AAAI Conference on Artificial Intelligence (2021) 3163-3171.

Xue Yang||Junchi Yan||Ziming Feng||Tao He R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object AAAI 2021, 3163-3171.

Xue Yang||Junchi Yan||Ziming Feng||Tao He (2021). R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object. Proceedings of the AAAI Conference on Artificial Intelligence, 3163-3171.

Xue Yang||Junchi Yan||Ziming Feng||Tao He. R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object. Proceedings of the AAAI Conference on Artificial Intelligence 2021 p.3163-3171.

Xue Yang||Junchi Yan||Ziming Feng||Tao He. 2021. R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object. "Proceedings of the AAAI Conference on Artificial Intelligence". 3163-3171.

Xue Yang||Junchi Yan||Ziming Feng||Tao He. (2021) "R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object", Proceedings of the AAAI Conference on Artificial Intelligence, p.3163-3171

Xue Yang||Junchi Yan||Ziming Feng||Tao He, "R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object", AAAI, p.3163-3171, 2021.

Xue Yang||Junchi Yan||Ziming Feng||Tao He. "R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object". Proceedings of the AAAI Conference on Artificial Intelligence, 2021, p.3163-3171.

Xue Yang||Junchi Yan||Ziming Feng||Tao He. "R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object". Proceedings of the AAAI Conference on Artificial Intelligence, (2021): 3163-3171.

Xue Yang||Junchi Yan||Ziming Feng||Tao He. R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object. AAAI[Internet]. 2021[cited 2023]; 3163-3171.


ISSN: 2374-3468


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