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Semi-Supervised Semantic Segmentation With Directional ...

openaccess.thecvf.com

Semantic Segmentation Semanticsegmentationisafun-damental yet rather challenging task. High-level seman-tic features are used to make predictions for each pixel. FCN [47] is the first semantic segmentation network to re-place the last fully-connected layer in a classification net-workbyconvolutionlayers. AsthefinaloutputsofFCNare

  Segmentation

Abstract arXiv:1411.4038v2 [cs.CV] 8 Mar 2015

arxiv.org

by fine-tuning [4] to the segmentation task. We then de-fine a novel architecture that combines semantic informa-tion from a deep, coarse layer with appearance information from a shallow, fine layer to produce accurate and detailed segmentations. Our fully convolutional network achieves state-of-the-art segmentation of PASCAL VOC (20% rela-

  Segmentation

U-Net: Convolutional Networks for Biomedical Image ...

www.cs.cmu.edu

To allow a seamless tiling of the output segmentation map (seeFigure 2), it is important to select the input tile size such that all 2x2 max-pooling operations are applied to a layer with an even x- and y-size. 3 Training The input images and their corresponding segmentation maps …

  Network, Image, Biomedical, Segmentation, Convolutional, Convolutional networks for biomedical image

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