[1] Zhong-Qiu Zhao, Peng Zheng, Shou-Tao Xu, and Xindong Wu. Object detection with deep learning: A review. IEEE Transactions on Neural Networks and Learning Systems, 30(11):3212-3232, 2019.
[2] Li Liu, Wanli Ouyang, Xiaogang Wang, Paul Fieguth, Jie Chen, Xinwang Liu, and Matti Pietikainen. Deep learning for generic object detection: A survey. International Journal of Computer Vision, 128(2):261-318, 2020.
[3] Long Wen, Yu Cheng, Yi Fang, and Xinyu Li. A comprehensive survey of oriented object detection in remote sensing images. Expert Systems with Applications, page 119960, 2023.
[4] Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, and Liangpei Zhang. Dota: A large-scale dataset for object detection in aerial images. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 3974-3983, 2018.
[5]Zikun Liu, Liu Yuan, Lubin Weng, and Yiping Yang. A high resolution optical satellite image dataset for ship recognition and some new baselines. In Proceedings of the International Conference on Pattern Recognition Applications and Methods, volume 2, pages 324-331, 2017.
[6] Xue Yang, Hao Sun, Kun Fu, Jirui Yang, Xian Sun, Menglong Yan, and Zhi Guo. Automatic ship detection in remote sensing images from google earth of complex scenes based on multiscale rotation dense feature pyramid networks. Remote Sensing, 10(1), 2018.
[7] Xue Yang and Junchi Yan. On the arbitrary-oriented object detection: Classification based approaches revisited. International Journal of Computer Vision, 130:1340-1365, 2022.
[8] Kun Fu, Zhonghan Chang, Yue Zhang, Guangluan Xu, Keshu Zhang, and Xian Sun. Rotation-aware and multi-scale convolutional neural network for object detection in remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing, 161:294-308, 2020.
[9] Nibal Nayef, Fei Yin, Imen Bizid, Hyunsoo Choi, Yuan Feng, Dimosthenis Karatzas, Zhenbo Luo, Umapada Pal, Christophe Rigaud, Joseph Chazalon, Wafa Khlif, Muhammad Muzzamil Luqman, Jean-Christophe Burie, Cheng-lin Liu, and Jean-Marc Ogier. Icdar2017 robust reading challenge on multi-lingual scene text detection and script identification - rrc-plt. In IAPR International Conference on Document Analysis and Recognition, volume 01, pages 1454-1459, 2017.
[10] Jianqi Ma, Weiyuan Shao, Hao Ye, Li Wang, Hong Wang, Yingbin Zheng, and Xiangyang Xue. Arbitrary-oriented scene text detection via rotation proposals. IEEE Transactions on Multimedia, 20(11):3111-3122, 2018.
[11] Minghui Liao, Zhen Zhu, Baoguang Shi, Gui-Song Xia, and Xiang Bai. Rotation-sensitive regression for oriented scene text detection. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 5909-5918, 2018.
[12] Xuebo Liu, Ding Liang, Shi Yan, Dagui Chen, Yu Qiao, and Junjie Yan. Fots: Fast oriented text spotting with a unified network. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 5676-5685, 2018.
[13] Xinyu Zhou, Cong Yao, He Wen, Yuzhi Wang, Shuchang Zhou, Weiran He, and Jiajun Liang. East: An efficient and accurate scene text detector. In IEEE Conference on Computer Vision and Pattern Recognition, pages 2642-2651, 2017.
[14] Xingjia Pan, Yuqiang Ren, Kekai Sheng, Weiming Dong, Haolei Yuan, Xiaowei Guo, Chongyang Ma, and Changsheng Xu. Dynamic refinement network for oriented and densely packed object detection. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 11207-11216, 2020.
[15] Yuekai Liu, Hongli Gao, Liang Guo, Aoping Qin, Canyu Cai, and Zhichao You. A data-flow oriented deep ensemble learning method for real-time surface defect inspection. IEEE Transactions on Instrumentation and Measurement, 69(7):4681-4691, 2020.
[16] Hongjin Wu, Ruoshan Lei, and Yibing Peng. Pcbnet: A lightweight convolutional neural network for defect inspection in surface mount technology. IEEE Transactions on Instrumentation and Measurement, 71:1-14, 2022.
[17] Ke Li, Gang Wan, Gong Cheng, Liqui Meng, and Junwei Han. Object detection in optical remote sensing images: A survey and a new benchmark. ISPRS Journal of Photogrammetry and Remote Sensing, 159:296-307, 2020.