參考文獻 |
[1] J. Redmon, S. Divvala, R. Girshick and A. Farhadi, "You Only Look Once: Unified, Real-Time Object Detection," 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, 2016, pp. 779-788, doi: 10.1109/CVPR.2016.91
[2] L. Li, X. Mu, S. Li and H. Peng, "A Review of Face Recognition Technology," in IEEE Access, vol. 8, pp. 139110-139120, 2020, doi: 10.1109/ACCESS.2020.3011028.
[3] L. Jiao et al., "A Survey of Deep Learning-Based Object Detection," in IEEE Access, vol. 7, pp. 128837-128868, 2019, doi: 10.1109/ACCESS.2019.2939201.
[4] K. He, G. Gkioxari, P. Dollár and R. Girshick, "Mask R-CNN," 2017 IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 2017, pp. 2980-2988, doi: 10.1109/ICCV.2017.322.
[5] 網路資料on line resources:one stage和 two stage流程圖。 取自https://github.com/bourdakos1/Custom-Object-Detection https://github.com/bourdakos1/Custom-Object-Detection
[6] Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C., & Berg, A. C. (2015). SSD: Single Shot MultiBox Detector. ArXiv. https://doi.org/10.1007/978-3-319-46448-0_2
[7] 網路資料on line resources:單一物件處理跟多重物件處理流程圖 取自。https://cs231n.stanford.edu/schedule.html
[8] Insaf, Adjabi & Ouahabi, A. & Benzaoui, Amir & taleb-ahmed, Abdelmalik. (2020). Past, Present, and Future of Face Recognition: A Review.
[9] 網路資料on line resources:人臉辨識流程圖 張凱喬,人臉辨識-基本流程/測試標準 取自。https://weilihmen.medium.com/%E4%BA%BA%E8%87%89%E8%BE%A8%E8%AD%98-%E5%9F%BA%E6%9C%AC%E6%B5%81%E7%A8%8B-%E6%B8%AC%E8%A9%A6%E6%A8%99%E6%BA%96-8d4d7c66e8ff
[10] 網路資料on line resources:NMS流程圖 Tommy Huang,機器/深度學習:物件偵測 Non-Maximum Suppression(NMS)。取自https://chih-sheng-huang821.medium.com/%E6%A9%9F%E5%99%A8-%E6%B7%B1%E5%BA%A6%E5%AD%B8%E7%BF%92-%E7%89%A9%E4%BB%B6%E5%81%B5%E6%B8%AC-non-maximum-suppression-nms-aa70c45adffa
[11] Bochkovskiy, A., Wang, C., & Liao, H. (2020). YOLOv4: Optimal Speed and Accuracy of Object Detection. ArXiv. /abs/2004.10934
[12] 網路資料on line resources:Pytorch。取自https://pytorch.org/
[13] Wang, C., Bochkovskiy, A., & Liao, H. (2022). YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors. ArXiv. /abs/2207.02696
[14] L. Chen, P. Chen and Z. Lin, "Artificial Intelligence in Education: A Review," in IEEE Access, vol. 8, pp. 75264-75278, 2020, doi: 10.1109/ACCESS.2020.2988510.
[15] K. He, X. Zhang, S. Ren and J. Sun, "Deep Residual Learning for Image Recognition," 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, 2016, pp. 770-778, doi: 10.1109/CVPR.2016.90.
[16] Perez, L., & Wang, J. (2017). The Effectiveness of Data Augmentation in Image Classification using Deep Learning. ArXiv. /abs/1712.04621
[17] Xue Ying 2019 J. Phys,” An Overview of Overfitting and its Solutions”,Conf. Ser. 1168 022022
[18] 網路資料on line resources:OBS取自。https://obsproject.com/
[19] A. Aloman, A. I. Ispas, P. Ciotirnae, R. Sanchez-Iborra and M. D. Cano, "Performance Evaluation of Video Streaming Using MPEG DASH, RTSP, and RTMP in Mobile Networks," 2015 8th IFIP Wireless and Mobile Networking Conference (WMNC), Munich, Germany, 2015, pp. 144-151, doi: 10.1109/WMNC.2015.12.
[20] 網路資料on line resources:XSplit VCam取自。https://www.xsplit.com/?gad_source=1&gclid=CjwKCAjw1emzBhB8EiwAHwZZxZaWGgJ2uakYCEnK09wg92UFH4IPIRSlTrHWZ2bi5XzNDZcmMRRO4BoCocMQAvD_BwE&pp=stripe_affiliate
[21] 網路資料on line resource:AWS取自。https://aws.amazon.com/tw/
[22] 網路資料on line resource:Amazon S3取自。https://aws.amazon.com/tw/s3/
[23] 網路資料on line resource:Line取自。https://zh.wikipedia.org/zh-tw/LINE
[24] 網路資料on line resource:Line Notify取自。https://notify-bot.line.me/zh_TW/
[25] 網路資料on line resource:Unsplash取自。https://unsplash.com/
[26] Keskar, N. S., & Socher, R. (2017). Improving Generalization Performance by Switching from Adam to SGD. ArXiv. /abs/1712.07628
[27] A. O. Ramon and L. Barba Guaman, "Detection of weapons using Efficient Net and Yolo v3," 2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI), Temuco, Chile, 2021, pp. 1-6
[28] A. Warsi, M. Abdullah, M. N. Husen, M. Yahya, S. Khan and N. Jawaid, "Gun Detection System Using Yolov3," 2019 IEEE International Conference on Smart Instrumentation, Measurement and Application (ICSIMA), Kuala Lumpur, Malaysia, 2019, pp. 1-4 |