Fetching the paper…
Reading the bibliography…
The past decade has witnessed significant progress on detecting objects in aerial images that are often distributed with large scale variations and arbitrary orientations.
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman, “The pascal visual object classes (voc) challenge,”
2010
Earlier work this paper cites.
R. Girshick, J. Donahue, T. Darrell, and J. Malik, “Rich feature hierarchies for accurate object detection and semantic segmentation,” in
2014
Earlier work this paper cites.
T.-Y. Lin, M. Maire, S. J. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick, “Microsoft coco: Common objects in context,” 2014, pp. 740–755
2014
Earlier work this paper cites.
R. Girshick, “Fast R-CNN,” in
2015
Earlier work this paper cites.
G. Cheng, P. Zhou, and J. Han, “Learning rotation-invariant convolutional neural networks for object detection in vhr optical remote sensing images,”
2016
Earlier work this paper cites.
Z. Liu, H. Wang, L. Weng, and Y. Yang, “Ship Rotated Bounding Box Space for Ship Extraction From High-Resolution Optical Satellite Images With Complex Backgrounds,”
2016
Earlier work this paper cites.
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, “You only look once: Unified, real-time object detection,” in
2016
Earlier work this paper cites.
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg, “SSD: Single shot multibox detector,” in
2016
Earlier work this paper cites.
W. Luo, Y. Li, R. Urtasun, and R. Zemel, “Understanding the effective receptive field in deep convolutional neural networks,” in
2016
Earlier work this paper cites.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in
2016
Earlier work this paper cites.
S. Ren, K. He, R. Girshick, and J. Sun, “Faster R-CNN: Towards real-time object detection with region proposal networks,”
2017
Earlier work this paper cites.
K. He, G. Gkioxari, P. Dollar, and R. Girshick, “Mask r-cnn,” in
2017
Earlier work this paper cites.
T.-Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollár, “Focal loss for dense object detection,” in
2017
Earlier work this paper cites.
Y. Zhou, Q. Ye, Q. Qiu, and J. Jiao, “Oriented response networks,” in
2017
Earlier work this paper cites.
Z. Liu, L. Yuan, L. Weng, and Y. Yang, “A high resolution optical satellite image dataset for ship recognition and some new baselines,” in
2017
Earlier work this paper cites.
Z. Liu, J. Hu, L. Weng, and Y. Yang, “Rotated region based cnn for ship detection,” 2017, pp. 900–904
2017
Earlier work this paper cites.
J. Dai, H. Qi, Y. Xiong, Y. Li, G. Zhang, H. Hu, and Y. Wei, “Deformable convolutional networks,” in
2017
Earlier work this paper cites.
T.-Y. Lin, P. Dollár, R. Girshick, K. He, B. Hariharan, and S. Belongie, “Feature pyramid networks for object detection,” in
2017
Cited alongside, same era.
L. Liu, Z. Pan, and B. Lei, “Learning a rotation invariant detector with rotatable bounding box,”
2017
Cited alongside, same era.
N. Bodla, B. Singh, R. Chellappa, and L. S. Davis, “Soft-NMS - Improving Object Detection with One Line of Code,” in
2017
Cited alongside, same era.
G.-S. Xia, X. Bai, J. Ding, Z. Zhu, S. Belongie, J. Luo, M. Datcu, M. Pelillo, and L. Zhang, “DOTA: A large-scale dataset for object detection in aerial images,” in
2018
Cited alongside, same era.
X. Yang, J. Yang, J. Yan, Y. Zhang, T. Zhang, Z. Guo, X. Sun, and K. Fu, “Scrdet: Towards more robust detection for small, cluttered and rotated objects,” in
2018
Cited alongside, same era.
G. Zhang, S. Lu, and W. Zhang, “Cad-net: A context-aware detection network for objects in remote sensing imagery,”
2019
Later among the works it cites.
K. Chen, W. Ouyang, C. C. Loy, D. Lin, J. Pang, J. Wang, Y. Xiong, X. Li, S. Sun, W. Feng, Z. Liu, and J. Shi, “Hybrid task cascade for instance segmentation,” 06 2019, pp. 4969–4978
2019
Later among the works it cites.
X. Zhou, D. Wang, and P. Krähenbühl, “Objects as points,” in
2019
Later among the works it cites.
Z. Yang, S. Liu, H. Hu, L. Wang, and S. Lin, “Reppoints: Point set representation for object detection,” in
2019
Later among the works it cites.
2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
H. Law and J. Deng, “Cornernet: Detecting objects as paired keypoints,” in
2018
Cited alongside, same era.
J. Ma, W. Shao, H. Ye, L. Wang, H. Wang, Y. Zheng, and X. Xue, “Arbitrary-oriented scene text detection via rotation proposals,”
2018
Cited alongside, same era.
B. Jiang, R. Luo, J. Mao, T. Xiao, and Y. Jiang, “Acquisition of localization confidence for accurate object detection,” in
2018
Cited alongside, same era.
M. Liao, Z. Zhu, B. Shi, G. Xia, and X. Bai, “Rotation-sensitive regression for oriented scene text detection,” in
2018
Cited alongside, same era.
S. M. Azimi, E. Vig, R. Bahmanyar, M. Körner, and P. Reinartz, “Towards multi-class object detection in unconstrained remote sensing imagery,” in
2018
Cited alongside, same era.
Z. Zhang, W. Guo, S. Zhu, and W. Yu, “Toward arbitrary-oriented ship detection with rotated region proposal and discrimination networks,”
2018
Cited alongside, same era.
J. Ding, Z. Zhu, G. Xia, X. Bai, S. Belongie, J. Luo, M. Datcu, M. Pelillo, and L. Zhang, “Icpr2018 contest on object detection in aerial images (odai-18),” in
2018
Cited alongside, same era.
Later among the works it cites.
J. Wang, K. Chen, S. Yang, C. C. Loy, and D. Lin, “Region proposal by guided anchoring,” in
2019
Later among the works it cites.
2019
Later among the works it cites.
2019
Later among the works it cites.
K. Chen, J. Wang, J. Pang, Y. Cao, Y. Xiong, X. Li, S. Sun, W. Feng, Z. Liu, J. Xu
2019
Later among the works it cites.
F. Yang, H. Fan, P. Chu, E. Blasch, and H. Ling, “Clustered object detection in aerial images,” in
2019
Later among the works it cites.
T. Vu, H. Jang, T. X. Pham, and C. Yoo, “Cascade rpn: Delving into high-quality region proposal network with adaptive convolution,” in
2019
Later among the works it cites.
Z. Tian, C. Shen, H. Chen, and T. He, “Fcos: Fully convolutional one-stage object detection,” in
2019
Later among the works it cites.
J. Wang, W. Yang, H.-C. Li, H. Zhang, and G.-S. Xia, “Learning center probability map for detecting objects in aerial images,”
2020
Closest in time.
Y. Xu, M. Fu, Q. Wang, Y. Wang, K. Chen, G. Xia, and X. Bai, “Gliding vertex on the horizontal bounding box for multi-oriented object detection,”
2020
Closest in time.
X. Pan, Y. Ren, K. Sheng, W. Dong, H. Yuan, X. Guo, C. Ma, and C. Xu, “Dynamic refinement network for oriented and densely packed object detection,” in
2020
Closest in time.
X. Li, X. Zhang, W. Huang, and Q. Wang, “Truncation cross entropy loss for remote sensing image captioning,”
2020
Closest in time.