Segmentation De
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Semi-Supervised Semantic Segmentation With Directional ...
openaccess.thecvf.comSemantic 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
![Abstract arXiv:1411.4038v2 [cs.CV] 8 Mar 2015](/cache/preview/e/8/a/1/0/5/9/a/thumb-e8a1059a2748cde7ba3d756f44e4ca34.jpg)
Abstract arXiv:1411.4038v2 [cs.CV] 8 Mar 2015
arxiv.orgby 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-
U-Net: Convolutional Networks for Biomedical Image ...
www.cs.cmu.eduTo 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 …