參考文獻 |
[1] L. Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam. “Encoder-decoder with atrous separable convolution for semantic image segmentation.” In European Conference on Computer Vision (ECCV), 2018.
[2] L.C. Chen, G. Papandreou, F. Schroff, and H. Adam, “Rethinking atrous convolution for semantic image segmentation.” arXiv:1706.05587 (2017).
[3] Qi, H., Zhang, Z., Xiao, B., Hu, H., Cheng, B., Wei, Y., Dai, J. “Deformable convolutional networks.” In coco detection and segmentation challenge 2017 entry. ICCV COCO Challenge Workshop (2017).
[4] F. Yu and V. Koltun, “Multi-scale context aggregation by dilated convolutions,” arXiv preprint arXiv:1511.07122, 2015.
[5] L. C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, A. L. Yuille, “DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.” IEEE transactions on pattern analysis and machine intelligence, vol. 40, no. 4, April 2018.
[6] A. G. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, and H. Adam, ”Mobilenets: Efficient convolutional neural networks for mobile vision applications,” arXiv:1704.04861 [cs], Apr 2017.
[7] Tai-Ling Yuan, Zhe Zhu, Kun Xu, Cheng-Jun Li, Tai-Jiang Mu, and Shi-Min Hu. “A large Chinese text dataset in the wild.” Journal of Computer Science and Technology, 2019, 34(3): 509-521.
[8] M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele, “The cityscapes dataset for semantic urban scene understanding,” in CVPR, 2016.
[9] A. Gupta, A. Vedaldi, and A. Zisserman. “Synthetic data for text localisation in natural images.” in Proc. CVPR, 2016, pp. 2315-2324.
[10] Z. Tian, W. Huang, T. He, P. He, and Y. Qiao, “Detecting text in natural image with connectionist text proposal network,” in Proc. Eur. Conf. Comput. Vis., 2016, pp. 56–72.
[11] S. Ren, K. He, R. Girshick, and J. Sun, “Faster R CNN: Towards Real Time Object Detection with Region Proposal Networks,” in IEEE Trans. Pattern Anal. Mach. Intell., vol. 39, no. 6, pp. 1137-1149, 2017.
[12] R. Girshick, “Fast R CNN,” in Proc. IEEE Int. Conf. Comput. Vis. Vis., pp. 1440-1448, 2015.
[13] M. Liao, B. Shi, X. Bai, X. Wang, and W. Liu. “Textboxes: A fast text detector with a single deep neural network.” In AAAI, pp. 4161–4167, 2017.
[14] W. Liu, D. Anguelov, D. Erhan, C. Szegedy, and S. E. Reed, “SSD: single shot multibox detector”. In Proc. ECCV, 2016.
[15] Y. Liu and L. Jin. “Deep matching prior network: Toward tighter multi-oriented text detection.” In CVPR, pp. 3454– 3461, 2017.
[16] J. Long, E. Shelhamer, and T. Darrell. “Fully convolutional networks for semantic segmentation.” In CVPR, 2015.
[17] D. He, X. Yang, C. Liang, Z. Zhou, G. Alexander, I. Ororbia, D. Kifer, and C. L. Giles. “Multi-scale fcn with cascaded instance aware segmentation for arbitrary oriented word spotting in the wild.” In CVPR, pp. 474–483, 2017.
[18] P. He, W. Huang, T. He, Q. Zhu, Y. Qiao, and X. Li. “Single shot text detector with regional attention.” In ICCV, volume 6, 2017.
[19] S. Long, J. Ruan, W. Zhang, X. He, W. Wu, and C. Yao. “Textsnake: A flexible representation for detecting text of arbitrary shapes.” arXiv preprint arXiv:1807.01544, 2018.
[20] A. Shrivastava, T. Pfister, O. Tuzel, J. Susskind, W. Wang, and R. Webb, "Learning from Simulated and Unsupervised Images through Adversarial Training", Computer Vision and Pattern Recognition (CVPR) 2017 IEEE Conference on, pp. 2242-2251, 2017.
[21] Debidatta Dwibedi, Ishan Misra, Martial Hebert, "Cut Paste and Learn: Surprisingly Easy Synthesis for Instance Detection", Computer Vision (ICCV) 2017 IEEE International Conference on, pp. 1310-1319, 2017.
[22] F. Liu, C. Shen, and G. Lin. “Deep convolutional neural fieldsfor depth estimation from a single image.” In Proc. CVPR, 2015.
[23] P. Perez, M. Gangnet, and A. Blake. “Poisson image editing.” ACM Transactions on Graphics, 22(3):313–318, 2003.
[24] Y. Baek, B. Lee, D. Han, S. Yun, and H. Lee. “Character region awareness for text detection.” In CVPR, pp. 4321–4330. IEEE, 2019.
[25] P. Zhang, P. Su. “Text Detection in Street View Images with Hirarchical Fully Convolution Neural Networks.” National Central University, 2018.
[26] https://language.moe.gov.tw/001/Upload/files/SITE_CONTENT/M0001/PIN/biau1.htm
[27] https://yinguobing.com/separable-convolution/ |