논문리뷰
![[논문리뷰] U-Net : Convolutional Networks for Biomedical Image Segmentation](https://img1.daumcdn.net/thumb/R750x0/?scode=mtistory2&fname=https%3A%2F%2Fblog.kakaocdn.net%2Fdna%2FbNrJrs%2FbtrL9tPye4w%2FAAAAAAAAAAAAAAAAAAAAABT4aMGjx7IX9hyyqPo6-_16OkfXxRtsHMTmkmvqnMf8%2Fimg.png%3Fcredential%3DyqXZFxpELC7KVnFOS48ylbz2pIh7yKj8%26expires%3D1753973999%26allow_ip%3D%26allow_referer%3D%26signature%3DWx3DdV6iDVL3iorMSyBkIbfM4RU%253D)
[논문리뷰] U-Net : Convolutional Networks for Biomedical Image Segmentation
대표적인 Semantic segmentation 모델인 U-Net에 대해 알아보자! 원문 링크 : https://arxiv.org/abs/1505.04597 U-Net: Convolutional Networks for Biomedical Image SegmentationThere is large consent that successful training of deep networks requires many thousand annotated training samples. In this paper, we present a network and training strategy that relies on the strong use of data augmentation to use the available a..