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dive-into-deep-learning lihang-book   python-computer-vision-program

参考文献

[1] 李沐. 动手学深度学习(Dive into Deep Learning,D2L.ai). 人民邮电出版社:北京. 源代码

[2] 计算机视觉:算法与应用. Richard Szeliski (作者), 艾海舟 / 兴军亮 (译者). 清华大学出版社. 2012-1. ISBN: 9787302269151

[3] 统计学习方法/李航著. --北京:清华大学出版社, 2012.3. ISBN 978-7-302-27595-4

[4] Jan Erik Solem (作者), 朱文涛, 袁勇 (译者). Python 计算机视觉编程. 人民邮电出版社:北京. 源代码

[5] GitHub. @Charmve. Semantic Segmentation in PyTorch. https://github.com/Charmve/Semantic-Segmentation-PyTorch

[6] GitHub. @weiaicunzai. awesome-image-classification. https://github.com/weiaicunzai/awesome-image-classification

[7] GitHub. @mrgloom. awesome-semantic-segmentation. https://github.com/mrgloom/awesome-semantic-segmentation

[8] Peter Harrington. Machine Learning in Action. 2012-4-19. ISBN: 9781617290183

[9] Deep Learning with Python.Francois Chollet. Manning Publications. 2017-10-31. ISBN: 9781617294433

[10] Computer Vision: Algorithms and Applications, 2nd ed. © 2021 Richard Szeliski, Facebook. http://szeliski.org/Book/

[11] Li Feifei. Stanford University. CS231n: Convolutional Neural Networks for Visual Recognition. https://cs231n.github.io/

[12] Alexei (Alyosha) Efros. University of California Berkeley. CS194-26/294-26: Intro to Computer Vision and Computational Photography. https://inst.eecs.berkeley.edu/~cs194-26/fa20/

[13] Bharath Hariharan. Cornell University. CS4670/5670 - Computer Vision

[14] Vaswani, Ashish, et al. "Attention is all you need." arXiv preprint arXiv:1706.03762 (2017).

[15] Rumelhart, David E., Geoffrey E. Hinton, and Ronald J. Williams. "Learning representations by back-propagating errors." nature 323.6088 (1986): 533-536.

[16] Wei, Xiu-Shen, et al. "Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization." Pattern Recognition 76 (2018): 704-714.

[17] Qiu, Xipeng, et al. "Pre-trained models for natural language processing: A survey." Science China Technological Sciences (2020): 1-26.

[18] Bochkovskiy, Alexey, Chien-Yao Wang, and Hong-Yuan Mark Liao. "Yolov4: Optimal speed and accuracy of object detection." arXiv preprint arXiv:2004.10934 (2020).