S. Lew, "A review of semantic segmentation using deep neural networks," International Journal of Multimedia Information Retrieval, vol. 7, no. 2, pp. 87-93, 2018.Y. Guo, Y. Liu, T. Georgiou, and M. S. Lew, "A review of semantic segmentation using deep neural networks", ...
摘要: During the long history of computer vision, one of the grand challenges has been semantic segmentation which is the ability to segment an unknown image into different parts and objects (e.g., beach, o关键词: Image segmentation Computer vision Deep learning Convolutional neural networks ...
A review of semantic segmentation using deep neural networks. Int J Multimed Inf Retr. 2018;7:87–93. https://doi.org/10.1007/s13735-017-0141-z. Article CAS Google Scholar Anwar SM, Majid M, Qayyum A, Awais M, Alnowami M, Khan MK. Medical image analysis using convolutional neural ...
2D数据集:PASCAL Visual Object Classes (VOC)、PASCAL Context 、PASCAL Part 、Semantic Boundaries Dataset (SBD) 、Microsoft Common Objects in Context (COCO) 、SYNTHetic Collection of Imagery and Annotations(SYNTHIA)、Cityscapes 、CamVid、KITTI 、Youtube-Objects 、Adobe’s Portrait Segmentation 等。 2.5D...
A Review on Deep Learning Techniques Applied to Semantic Segmentation 2018-02-22 10:38:12 1. Introduction: 语义分割是计算机视觉当中非常重要的一个课题,其广泛的应用于各种类型的数据,如:2D image,video,and even 3D or volumetric data。 最近基于 deep learning 的方法,取得了非常巨大的进展,在语义分割上...
Image Segmentation Using Deep Learning: A Survey[J]. 2020. Guo Y , Liu Y , Georgiou T , et al. A review of semantic segmentation using deep neural networks[J]. International Journal of Multimedia Information Retrieval, 2017. https://github.com/fabioperez/pytorch-examples/...
This paper provides a review on deep learning methods for semantic segmentation applied to various application areas. Firstly, we describe the terminology of this field as well as mandatory background concepts. Next, the main datasets and challenges are exposed to help researchers decide which are ...
Semantic segmentation of remote sensing imagery has been employed in many applications and is a key research topic for decades. With the success of deep learning methods in the field of computer vision, researchers have made a great effort to transfer their superior performance to the field of re...
本文是为了提供一个用于语义分割的无监督域自适应(Unsupervised domain adaptation)算法的综述。 domain adaptation 的不同层次: input (image) level, internal feature representation level, output level 不同类型:对抗性学习,基于生成,分类器差异分析,自学,熵最小化,课程学习和多任务学习 ...
Image Segmentation Using Deep Learning: A Survey[J]. 2020. Guo Y , Liu Y , Georgiou T , et al. A review of semantic segmentation using deep neural networks[J]. International Journal of Multimedia Information Retrieval, 2017. https://github.com/fabioperez/pytorch-examples/...