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Comparative Analysis of Semantic Segmentation Methods for Satellite Images Segmentation
Qing Bu, Wei Wan, Savitskaya, E.
This paper proposes a comparative analysis of different automatic semantic segmentation methods
RMNET: A Residual and Multi-scale Feature Fusion Network For High-resolution Image Semantic Segmentation
ZiRui Shen, Xin Li, Sheng Xu
planning, resource management, environmental monitoring, and disaster warning. Semantic segmentation
Image Semantic Segmentation Based on High-Resolution Networks for Monitoring Agricultural Vegetation
Ganchenko, V., Starovoitov, V., Xiangtao Zheng
spatial resolutions was considered. Proposed approach is based on a semantic segmentation using
Image Segmentation Approaches Applied for the Earth's Surface
Kypriyanava, D., Pertsau, D., Tatur, M.
An analytical review of papers about remote sensing, as well as semantic segmentation
Dilated convolution and spatial pyramid fusion in the image segmentation problem
Zhao Di, Tang Yi, Gourinovitch, A. B.
is to segment different regions in an image into semantically meaningful parts. However, due to the presence
An approach to calculating the similarity between semantic segments in the intelligent tutoring systems
Li Wenzu, Qian Longwei
semantic fragments described based on factual knowledge in the intelligent tutoring systems.
Crowd Attention Estimation Automatisation Based on Semi-Automatic Image Semantic Segmentation by Using UNet and CRF Networks
Sholtanyuk, S., Malionkin, Ya., Bin Lei, Nedzved, A.
Semantic segmentation of crowd images plays a pivotal role in various applications such as crowd
Use of multispectral satellite images for the vegetation monitoring in the ecuadorian amazon using a u-net network in areas of industrial oil activity
Cevallos J.P.C., Govin I.J.A., Stanis E.V.
-infrared spectrum were analyzed by a semantic segmentation algorithm developed by labeling each pixel of the images
Homology between segments of human hemostatic proteins and proteins of viruses which cause acute respiratory infections or diseases with similar symptoms
Zhilinskaya I.N.
Objectives: To identify homologous segments of human hemostatic and viral proteins and to assess
Computer vision with semantic segmentation for autonomous ground vehicle
Mohammed, M. J., Shidlovskiy, Stanislav V.
In this work, we implement of semantic segmentation for images to enhance object detections

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