FGSD: A Dataset for Fine-Grained Ship Detection in High Resolution Satellite Images

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“Faster r-cnn towards real-time object detection with region proposal networks,”
Original
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun, · 2003
Earlier work this paper cites.
“A Novel Hierarchical Method of Ship Detection from Spaceborne Optical Image Based on Shape and Texture Features,”
Changren Zhu, Hui Zhou, Runsheng Wang, and Jun Guo, · 2010
Earlier work this paper cites.
“Multi-class geospatial object detection and geographic image classification based on collection of part detectors,”
Gong Cheng, Junwei Han, Peicheng Zhou, and Lei Guo, · 2014
Earlier work this paper cites.

“A high resolution optical satellite image dataset for ship recognition and some new baselines,”
Zikun Liu, Yuan Liu, Lubin Weng, and Yiping Yang, · 2017
Cited alongside, same era.
“Ship detection in optical remote sensing images based on deep convolutional neural networks,”
Yao Yuan, Zhiguo Jiang, Haopeng Zhang, Danpei Zhao, and Bowen Cai, · 2017
Cited alongside, same era.
“R2cnn: Rotational region cnn for orientation robust scene text detection,”
Yingying Jiang, Xiangyu Zhu, Xiaobing Wang, Shuli Yang, Wei Li, Hua Wang, Pei Fu, and Zhenbo Luo,
Cited in the paper.
“Scrdet: Towards more robust detection for small, cluttered and rotated objects,”
Xue Yang, Jirui Yang, Junchi Yan, Yue Zhang, Tengfei Zhang, Zhi Guo, Sun Xian, and Kun Fu,
Cited in the paper.

“Dota: A large-scale dataset for object detection in aerial images,”
Gui Song Xia, Bai Xiang, Liangpei Zhang, Serge Belongie, and Marcello Pelilo, · 2018
Later among the works it cites.
“Automatic ship detection based on retinanet using multi-resolution gaofen-3 imagery,”
Yuanyuan Wang, Chao Wang, Hong Zhang, Yingbo Dong, and Sisi Wei, · 2019
Later among the works it cites.