Encoder-DecoderwithAtrous Separable Convolution for ...
Encoder-Decoder with Atrous SeparableConvolution for Semantic image SegmentationLiang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, andHartwig AdamGoogle Inc.{lcchen, yukun, gpapan, fschroff, pyramid pooling module or encode-decoder structureare used in deep neural networks for semantic segmentation networks are able to encode multi-scale contextual information byprobing the incoming features with filters or pooling operations at mul-tiple rates and multiple effective fields-of-view, while the latter networkscan capture sharper object boundaries by gradually recovering the spatialinformation. In this work, we propose to combine the advantages fromboth methods. Specifically, our proposed model, DeepLabv3+, extendsDeepLabv3 by adding a simple yet effective decoder module to refine thesegmentation results especially along object boundaries.}
image [1,2,3,4,5] is one of the fundamental topics in computer vision. Deep con-volutional neural networks [6,7,8,9,10] based on the Fully Convolutional Neural ... and add a simple yet effective decoder module to obtain sharper segmentations. 4 L.-C Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam 1x1 Conv 3x3 Conv rate 6 3x3 Conv rate 12 ...
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