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We propose a novel method for representing oriented objects in aerial images named Adaptive Period Embedding (APE).
S. Xie, R. Girshick, P. Dollár, Z. Tu, and K. He, “Aggregated residual transformations for deep neural networks,” in IEEE Conference on Computer Vision and Pattern Recognition . IEEE, 2017, pp. 5987–5995
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K. He, G. Gkioxari, P. Dollár, and R. Girshick, “Mask r-cnn,” arXiv preprint arXiv:1703.06870 , 2017
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S. Ren, K. He, R. Girshick, and J. Sun, “Faster r-cnn: Towards real-time object detection with region proposal networks,” IEEE transactions on pattern analysis and machine intelligence , vol. 39, no. 6, pp. 1137–1149, 2017
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T.-Y. Lin, P. Dollár, R. B. Girshick, K. He, B. Hariharan, and S. J. Belongie, “Feature pyramid networks for object detection.” in IEEE Conference on Computer Vision and Pattern Recognition , vol. 1, no. 2, 2017, p. 4
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S. Long, J. Ruan, W. Zhang, X. He, W. Wu, and C. Yao, “Textsnake: A flexible representation for detecting text of arbitrary shapes,” in Proceedings of the European Conference on Computer Vision (ECCV) , 2018, pp. 20–36
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S. Liu, L. Qi, H. Qin, J. Shi, and J. Jia, “Path aggregation network for instance segmentation,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2018, pp. 8759–8768
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G. Wang, X. Wang, B. Fan, and C. Pan, “Feature extraction by rotation-invariant matrix representation for object detection in aerial image,” IEEE Geoscience and Remote Sensing Letters , vol. 14, no. 6, pp. 851–855, 2017
2017
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Y. Long, Y. Gong, Z. Xiao, and Q. Liu, “Accurate object localization in remote sensing images based on convolutional neural networks,” IEEE Transactions on Geoscience and Remote Sensing , vol. 55, no. 5, pp. 2486–2498, 2017
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M. Liao, B. Shi, X. Bai, X. Wang, and W. Liu, “Textboxes: A fast text detector with a single deep neural network.” in AAAI , 2017, pp. 4161–4167
2017
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Y. Liu and L. Jin, “Deep matching prior network: Toward tighter multi-oriented text detection,” in IEEE Conference on Computer Vision and Pattern Recognition , 2017, pp. 3454–3461
2017
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2017
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2017
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M. Liao, B. Shi, and X. Bai, “Textboxes++: A single-shot oriented scene text detector,” IEEE Transactions on Image Processing , vol. 27, no. 8, pp. 3676–3690, 2018
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J. Ma, W. Shao, H. Ye, L. Wang, H. Wang, Y. Zheng, and X. Xue, “Arbitrary-oriented scene text detection via rotation proposals,” IEEE Transactions on Multimedia , 2018
2018
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P. Lyu, C. Yao, W. Wu, S. Yan, and X. Bai, “Multi-oriented scene text detection via corner localization and region segmentation,” in IEEE Conference on Computer Vision and Pattern Recognition , 2018, pp. 7553–7563
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2018
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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 IEEE Conference on Computer Vision and Pattern Recognition , June 2018
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2019
Closest in time.
J. Pang, C. Li, J. Shi, Z. Xu, and H. Feng, “R²-cnn: Fast tiny object detection in large-scale remote sensing images,” IEEE Transactions on Geoscience and Remote Sensing , 2019
2019
Closest in time.
Z. Deng, H. Sun, S. Zhou, and J. Zhao, “Learning deep ship detector in sar images from scratch,” IEEE Transactions on Geoscience and Remote Sensing , 2019
2019
Closest in time.
Q. Li, L. Mou, Q. Xu, Y. Zhang, and X. X. Zhu, “R³-net: A deep network for multioriented vehicle detection in aerial images and videos,” IEEE Transactions on Geoscience and Remote Sensing , 2019
2019
Closest in time.
Y. Xu, Y. Wang, W. Zhou, Y. Wang, Z. Yang, and X. Bai, “Textfield: Learning a deep direction field for irregular scene text detection,” IEEE Transactions on Image Processing , 2019
2019
Closest in time.