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

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

15 Aug 2019arXiv:1908.05612archive 2025-07-28

Xue Yang, Junchi Yan, Ziming Feng, Tao He

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. Tensorflow and Pytorch version codes are available at https://github.com/Thinklab-SJTU/R3Det_Tensorflow and https://github.com/SJTU-Thinklab-Det/r3det-on-mmdetection, and R3Det is also integrated in our open source rotation detection benchmark: https://github.com/yangxue0827/RotationDetection.

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SJTU-Det/R3Det_Tensorflow officialmentioned in papermentioned on GitHubtfApache-2.0 report
SJTU-Thinklab-Det/r3det-on-mmdetection officialmentioned in papermentioned on GitHubtfApache-2.0 report
Thinklab-SJTU/R3Det_Tensorflow officialmentioned in papermentioned on GitHubtfApache-2.0 report
yangxue0827/RotationDetection officialmentioned in papermentioned on GitHubtf report
cameronchoi/r3det-copy mentioned on GitHubpytorchnot reachable when probed 2026-09-17 — repositories for recent papers often appear after camera-ready report
magnificent1208/r3det-on-mmdetection mentioned on GitHubpytorchApache-2.0 report
open-mmlab/mmrotate pytorchApache-2.0 report

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2ran · our draft was wrong
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get_gtboxes_head_and_label identical code first harvested elsewhere ran · our draft was wrong licence of this copy not recorded · 60d367be4e8c78e6 · report
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voc_ap identical code first harvested elsewhere ran · fixture could not drive it licence of this copy not recorded · 1c679c88d3cb7b6e · report

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Object DetectionObject Detection In Aerial Imagesobject-detection

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