DOTA: A Large-scale dataset for object detection in aerial images . G.-S. Xia, X. Bai, J. Ding, Z. Zhu, S. Belongie, J. Luo, M. Datcu, M. Pelillo, L. Zhang. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [paper] [Project Page] |
Learning RoI Transformer for Detecting Oriented Objects in Aerial Images. J. Ding, N. Xue, Y. Long, G.-S. Xia, Q. Lu. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [paper] |
ReDet: A Rotation Equivariant Detector for Aerial Object Detection. J. Han, J. Ding, N. Xue, G.-S. Xia. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [paper] [Code] |
Align Deep Features for Oriented Object Detection. J. Han, J. Ding, J. Li, G.-S. Xia. IEEE Trans. on Geoscience and Remote Sensing (TGRS), in press. [paper] [Code] |
Gliding vertex on the horizontal bounding box for multi-oriented object detection . Y. Xu, M. Fu, Q.Wang, Y. Wang, K. Chen, G.-S. Xia, X. Bai. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), in press, 2020. [paper] [Code] |
Learning Center Probability Map for Detecting Objects in Aerial Images . J. Wang, W. Yang, H. Li, H. Zhang, G.-S. Xia. IEEE Trans. on Geoscience and Remote Sensing (TGRS), in press, 2020. [paper] [Project Page] |
Small object detection in forward-looking infrared images with sea clutter via context-driven Bayesian saliency model. J.-G. Yu, G.-S. Xia, J. Deng, S. Liu, J. Tian. Infrared Physics and Technology, Vol.73, pp.175-183, 2015. [paper] |