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Компьютерное зрение и его основные задачи нами были рассмотрены две основные задачи компьютерного зрения- Object Detection и Semantic
Comparative Analysis of Semantic Segmentation Methods for Satellite Images SegmentationThis 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 planning,
resource management, environmental monitoring, and disaster
warning. Semantic segmentation
Image Semantic Segmentation Based on High-Resolution Networks for Monitoring Agricultural Vegetation spatial resolutions was considered. Proposed approach is based on a semantic segmentation using
Image Segmentation Approaches Applied for the Earth's SurfaceAn analytical review of papers about remote sensing, as well as semantic segmentation
Dilated convolution and spatial pyramid fusion in the image segmentation problem 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 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 NetworksSemantic 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-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 symptomsObjectives: To identify homologous segments of human hemostatic and viral proteins and to assess
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