Acknowledgement
This research was supported by Kumoh National Institute of Technology (2018-104-082)
References
- Y. Gurovich, Y. Hanani, O. Bar, G. Nadav, N. Fleischer, D. Gelbman, L.B. Salmon, P.M. Krawitz, S.B. Kamphausen, M. Zenker, L.M. Bird, and K.W. Gripp, "Identifying facial phenotypes of genetic disorders using deep learning," Nature medicine, Vol. 25, No. 1, pp. 60-64, Jan. 2019. https://doi.org/10.1038/s41591-018-0279-0
- B.A.M. Ashqar, B.S. Abu-Nasser, and S.S. Abu-Naser, "Plant Seedlings Classification Using Deep Learning," International Journal of Academic Information Systems Research (IJAISR), Vol. 3, No. 1, pp. 7-14, Jan. 2019.
- R. Vinayakumar, M. Alazab, K.P. Soman, P. Poornachandran, and S. Venkatraman, "Robust intelligent malware detection using deep learning," IEEE Access, Vol.7, pp. 46717-46738, Apr. 2019. https://doi.org/10.1109/access.2019.2906934
- P. Jiang, Y. Chen, B. Liu, D. He, and C. Liang, "Real-time detection of apple leaf diseases using deep learning approach based on improved convolutional neural networks," IEEE Access, Vol. 7, pp.59069-59080, May 2019. https://doi.org/10.1109/access.2019.2914929
- Y. Chen, W. Li, C. Sakaridis, D. Dai, and L.V. Gool, "Domain Adaptive Faster R-CNN for Object Detection in the Wild," In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 3339-3348, Jun. 2018.
- L. Jiao, F. Zhang, F. Liu, S. Yang, L. Li, Z. Feng, and Q. Rong, "A survey of deep learning-based object detection," IEEE Access, Vol. 7, pp.128837-128868, Sep. 2019. https://doi.org/10.1109/access.2019.2939201
- R. Girshick, J. Donahue, T. Darrell, and J. Malik, "Rich feature hierarchies for accurate object detection and semantic segmentation," In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 580-587, Jun. 2014.
- R. Girshick, "Fast R-CNN," In Proceedings of the IEEE International conference on computer vision (ICCV), pp.1440-1448, Dec. 2015.
- K. Li, G. Wan, G. Cheng, L. Meng, and J. Han, "Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark," ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 159, pp. 296-307, Jan. 2020. https://doi.org/10.1016/j.isprsjprs.2019.11.023
- U. Alganci, M. Soydas, and E. Sertel, "Comparative Research on Deep Learning Approaches for Airplane Detection from Very High-Resolution Satellite Images," Remote Sensing, Vol. 12, No.3, 458, Feb. 2020. https://doi.org/10.3390/rs12030458
- 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, Jun. 2016. https://doi.org/10.1109/TPAMI.2016.2577031
- Naver Static Map API, https://apidocs.ncloud.com/ko/ai-naver/maps_static_map/ [accessed: Nov. 12, 2020]
- Kakao developers Vision OCR API, https://developers.kakao.com/docs/latest/ko/vision/dev-guide#ocr [accessed: Nov. 12, 2020]
- Kakao developers Local API, https://developers.kakao.com/docs/latest/ko/local/dev-guide#keyword [accessed: Nov. 12, 2020]
- Keras implementation of Faster R-CNN, https://github.com/inspace4u/keras-frcnn [accessed: Nov. 12, 2020]