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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
Texture image segmentation based on classification, skeletonization and crossing of contour elementsA method for texture image segmentation based on classification, skeletonization and crossing
Image Segmentation Approaches Applied for the Earth's SurfaceAn analytical review of papers about remote sensing, as well as semantic segmentation
Segmentation of dynamical images by means of discrete Hartley transformThis paper considers the problem of finding the parameters of motion of a segmental low
UNetX: Real-time Pedestrian Crosswalk Segmentation on Mobile DeviceThis paper presents a lightweight deep neural network that segments pedestrian crosswalks
Comparison of Deep Learning Preprocessing Algorithms of Nuclei Segmentation on Fluorescence Immunohistology Images of Cancer Cells. With the widespread application of convolutional neural networks in computer vision, segmentation of images of cancer
Texture image segmentation based on classification of contour elements and logical addition of classesA method for texture segmentation of images based on classification of contour elements and logical
Search of regions of interest in objects showing signs of a spot on locally homogeneous scenes and geometrical signs, instead of segmentation of the entire scene, only those fragments that contain the objects
Exploring the role of loss functions in biomedical image segmentationThe loss function is an important part of the segmentation method based on deep learning
Сегментация изображений на основе волнового выращивания областей перепадами яркости и адаптироваться к ограниченному времени сегментации. A method for segmentation
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