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记录整理阅读文献的笔记

CNN-卷积神经网络-网络结构相关(经典结构,激活函数,正则化方法,数据增强,优化方法...)

序号 文章题目 文章引用信息 阅读笔记
1 Deep Residual Learning for Image Recognition He K, Zhang X, Ren S, et al. Deep Residual Learning for Image Recognition[J]. 2015:770-778. 论文阅读笔记
2 Aggregated Residual Transformations for Deep Neural Networks Xie S, Girshick R, Dollar P, et al. Aggregated Residual Transformations for Deep Neural Networks[J]. 2016:5987-5995. 论文阅读笔记

CNN-图像分割相关

序号 文章题目 文章引用信息 阅读笔记
1 U-Net: Convolutional Networks for BiomedicalImage Segmentation Ronneberger O, Fischer P, Brox T. U-Net: Convolutional Networks for Biomedical Image Segmentation[M]// Medical Image Computing and Computer-Assisted Intervention — MICCAI 2015. Springer International Publishing, 2015:234-241. [论文阅读笔记]
2 SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Badrinarayanan V, Kendall A, Cipolla R. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Scene Segmentation.[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, PP(99):1-1. 论文阅读笔记
2.1 SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling Badrinarayanan V, Handa A, Cipolla R. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling[J]. Computer Science, 2015. 论文阅读笔记

实验相关


框架学习 1. tiny-dnn tiny-dnn 源码阅读笔记1 tiny-dnn 源码阅读笔记2 tiny-dnn 源码阅读笔记3

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