2021

ReDet: A Rotation-equivariant Detector for Aerial Object Detection

Han, Jiaming, Ding, Jian, Xue, Nan et al.

Understand

Recently, object detection in aerial images has gained much attention in computer vision.

Different from objects in natural images, aerial objects are often distributed with arbitrary orientation.
Therefore, the detector requires more parameters to encode the orientation information, which are often highly redundant and inefficient.
Moreover, as ordinary CNNs do not explicitly model the orientation variation, large amounts of rotation augmented data is needed to train an accurate object detector.

Built on

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Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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SSD: Single shot multibox detector
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Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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Robust scene text recognition with automatic rectification
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Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei · 2017
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollar, and Ross Girshick · 2017
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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Learning a rotation invariant detector with rotatable bounding box
Original
Lei Liu, Zongxu Pan, and Bin Lei · 2017
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A high resolution optical satellite image dataset for ship recognition and some new baselines
Zikun Liu, Liu Yuan, Lubin Weng, and Yiping Yang · 2017
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Then

Learning object-wise semantic representation for detection in remote sensing imagery
Chengzheng Li, Chunyan Xu, Zhen Cui, Dan Wang, Zequn Jie, Tong Zhang, and Jian Yang · 2019
Later among the works it cites.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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General e(2)-equivariant steerable cnns
Maurice Weiler and Gabriele Cesa · 2019
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R3det: Refined single-stage detector with feature refinement for rotating object
Original
Xue Yang, Qingqing Liu, Junchi Yan, Ang Li, Zhiqiang Zhang, and Gang Yu · 2019
Later among the works it cites.
Scrdet: Towards more robust detection for small, cluttered and rotated objects
Xue Yang, Jirui Yang, Junchi Yan, Yue Zhang, Tengfei Zhang, Zhi Guo, Xian Sun, and Kun Fu · 2019
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Objects as points
Original
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Dynamic refinement network for oriented and densely packed object detection
Xingjia Pan, Yuqiang Ren, Kekai Sheng, Weiming Dong, Haolei Yuan, Xiaowei Guo, Chongyang Ma, and Changsheng Xu · 2020
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Learning center probability map for detecting objects in aerial images
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Xue Yang and Junchi Yan · 2020
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Original
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Jingru Yi, Pengxiang Wu, Bo Liu, Qiaoying Huang, Hui Qu, and Dimitris Metaxas · 2020
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Align deep features for oriented object detection
J. Han, J. Ding, J. Li, and G. S. Xia · 2021
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