Results 11 to 20 of about 12,040,618 (293)
Patch-based semantic labelling of images. [PDF]
, 2010 PhDThe work presented in this thesis is focused at associating a semantics to the content of an image, linking the content to high level semantic categories. The process can take place at two levels: either at image level, towards image categorisation,
Passino, Giuseppe
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IEEE Access, 2023 With the rapid development of deep learning technology, the accuracy of image semantic segmentation tasks has been greatly improved. However, indoor RGB-D semantic segmentation remains a challenging problem because of the complexity of indoor ...
Yunping Zheng +5 more
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Semantic segmentation of outdoor panoramic images
Signal, Image and Video Processing, 2021 Omnidirectional cameras are capable of providing $$360^{\circ }$$ field-of-view in a single shot. This comprehensive view makes them preferable for many computer vision applications.
Semih Orhan, Yalin Bastanlar
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Image semantic segmentation with hierarchical feature fusion based on deep neural network
Connection Science, 2022 In the field of image segmentation in industrial production. When using depth neural network to extract features from image information. Deep neural network can not effectively use the feature information between different levels.
Dawei Yang +3 more
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Improved image semantic segmentation with domain adaptation for mechanical parts
Mechanical Engineering Journal, 2022 Non-contact detection methods based on computer vision are widely used in industrial production. When collecting images, different light source schemes are often used to meet the detection requirements of different objects.
Xin XIE +4 more
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Image Semantic Segmentation Method with Fusion of Transposed Convolution and Deep Residual [PDF]
Jisuanji kexue yu tansuo, 2022 Aiming at the problems of low segmentation accuracy and high loss of deep learning image semantic segmentation methods, image semantic segmentation method with fusion of transposed convolution and deep residual is proposed. Firstly, in order to solve the
LIU Lamei, WANG Xiaona, LIU Wanjun, QU Haicheng
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Remote Sensing, 2023 Aerial Image Semantic segmentation based on convolution neural networks (CNNs) has made significant process in recent years. Nevertheless, their vulnerability to adversarial example attacks could not be neglected.
Zhen Wang +3 more
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IEEE Access, 2022 The same class of objects clustering process in a frame is known as semantic segmentation. The deep convolutional neural network-based semantic segmentation needs large-scale computations and annotations for data training to reach real-time inference ...
Ming-Hwa Sheu +5 more
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Semantic, Automatic Image Annotation Based On Multi-Layered Active Contours and Decision Trees [PDF]
, 2013 In this paper, we propose a new approach for automatic image annotation (AIA) in order to automatically and efficiently assign linguistic concepts to visual data such as digital images, based on both numeric and semantic features.
Olszewska, Joanna Isabelle
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An ISAR Image Component Recognition Method Based on Semantic Segmentation and Mask Matching
Sensors, 2023 The inverse synthetic aperture radar (ISAR) image is a kind of target feature data acquired by radar for moving targets, which can reflect the shape, structure, and motion information of the target, and has attracted a great deal of attention from the ...
Xinli Zhu +4 more
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