Deep semantic segmentation of natural and medical images: a review
… review, we categorize the leading deep learning-based medical and non-medical image
segmentation … task methods and provide a comprehensive review of the contributions in each of …
segmentation … task methods and provide a comprehensive review of the contributions in each of …
A review of deep learning methods for semantic segmentation of remote sensing imagery
X Yuan, J Shi, L Gu - Expert Systems with Applications, 2021 - Elsevier
… a comprehensive review as well as identify open challenges in the semantic segmentation of
… i ( y , y ̂ ) where w i is a weight to balance the contribution of each loss L i . S and B denote …
… i ( y , y ̂ ) where w i is a weight to balance the contribution of each loss L i . S and B denote …
Review the state-of-the-art technologies of semantic segmentation based on deep learning
Y Mo, Y Wu, X Yang, F Liu, Y Liao - Neurocomputing, 2022 - Elsevier
… semantic segmentation models, eg, U-net [130], [201], FCN [75], [137]. This paper
comprehensively reviews the research of 2D semantic segmentation … Their main contribution is …
comprehensively reviews the research of 2D semantic segmentation … Their main contribution is …
A review of deep learning-based semantic segmentation for point cloud
J Zhang, X Zhao, Z Chen, Z Lu - IEEE access, 2019 - ieeexplore.ieee.org
… contributions in this paper are concluded as follows: 1) A comprehensive review of point cloud
semantic segmentation … the existing semantic segmentation models according to different …
semantic segmentation … the existing semantic segmentation models according to different …
A brief survey on semantic segmentation with deep learning
S Hao, Y Zhou, Y Guo - Neurocomputing, 2020 - Elsevier
… The deep residual network (ResNet) [29] successfully enables a much deeper network and
achieves better performance in various vision tasks. Its key contribution lies in modeling the …
achieves better performance in various vision tasks. Its key contribution lies in modeling the …
A survey on deep learning-based architectures for semantic segmentation on 2d images
I Ulku, E Akagündüz - Applied Artificial Intelligence, 2022 - Taylor & Francis
… Recent deep learning studies on semantic segmentation … of the techniques of all the studies
within this proposed context. … of semantic segmentation architectures is the main contribution …
within this proposed context. … of semantic segmentation architectures is the main contribution …
A review of deep-learning-based medical image segmentation methods
… In this paper, we conduct a comprehensive review of medical … application of deep learning
technology in medical image … of medical image segmentation, but also contribute to data …
technology in medical image … of medical image segmentation, but also contribute to data …
Survey on semantic segmentation using deep learning techniques
… semantic segmentation with their contributions and significance in the field. An extensive
review … This section provides the details of all the reviewed semantic segmentation methods. …
review … This section provides the details of all the reviewed semantic segmentation methods. …
Deep learning: a comprehensive overview on techniques, taxonomy, applications and research directions
IH Sarker - SN computer science, 2021 - Springer
… The overall contribution of this paper is summarized as … , medical image analysis, image
segmentation, natural … the researchers conduct a thorough analysis of the application’s …
segmentation, natural … the researchers conduct a thorough analysis of the application’s …
Unsupervised domain adaptation in semantic segmentation: a review
… The main contribution of the paper in this adaptation is the … that UDA for semantic segmentation
is an open research field with … based on the various schemes presented in this review are …
is an open research field with … based on the various schemes presented in this review are …