Results 31 to 40 of about 32,830 (265)
Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation [PDF]
Proceedings of the British Machine Vision Conference 2020, 2020 Paper will appear on BMVC ...
Luigi Musto, Andrea Zinelli
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Remote Sensing, 2023 The wide application and rapid development of satellite remote sensing technology have put higher requirements on remote sensing image segmentation methods.
Zheng Zhou +6 more
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Remote Sensing, 2022 With the development of deep learning algorithms, more and more deep learning algorithms are being applied to remote sensing image classification, detection, and semantic segmentation.
Yongxiu Zhou +5 more
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Weakly Supervised Deep Semantic Segmentation Using CNN and ELM with Semantic Candidate Regions
Complexity, 2019 The task of semantic segmentation is to obtain strong pixel-level annotations for each pixel in the image. For fully supervised semantic segmentation, the task is achieved by a segmentation model trained using pixel-level annotations.
Xinying Xu +4 more
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Semantic Segmentation of 3D Medical Images with 3D Convolutional Neural Networks
CLEI Electronic Journal, 2020 A neural network is a mathematical model that is able to perform a task automatically or semi-automatically after learning the human knowledge that we provided.
Alejandra Márquez Herrera +2 more
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SEMANTIC SEGMENTATION OF BUILDING IN AIRBORNE IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Abstract. Building is a key component to the reconstructing of LoD3 city modelling. Compared to terrestrial view, airborne datasets have more occlusions at street level but can cover larger area in the urban areas. With the popularity of the Deep Learning, many tasks in the field of computer vision can be solved in easier and efficiency way.
S. Huang, F. Nex, Y. Lin, M. Y. Yang
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Applied Sciences, 2023 Aerial images are important for monitoring land cover and land resource management. An aerial imaging source which keeps its position at a higher altitude, and which has a considerable duration of airtime, employs wireless communications for sending ...
Kalupahanage Dilusha Malintha De Silva +1 more
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Semantic Image Segmentation: Two Decades of Research
Foundations and Trends® in Computer Graphics and Vision, 2022 Semantic image segmentation (SiS) plays a fundamental role in a broad variety of computer vision applications, providing key information for the global understanding of an image. This survey is an effort to summarize two decades of research in the field of SiS, where we propose a literature review of solutions starting from early historical methods ...
Gabriela Csurka +2 more
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International Journal of Digital EarthIn the field of remote sensing, using a large amount of labeled image data to supervise the training of fully convolutional networks for the semantic segmentation of images is expensive.
Zenan Yang +4 more
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Image Style Transfer Algorithm Based on Semantic Segmentation
IEEE Access, 2021 Most of the existing image style transfer algorithms transfer the whole image style as a whole. Style feature is a set of correlation matrix based on style image, namely Gram matrix. Each matrix is a global description of the style image.
Zhijie Lin +7 more
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