Results 11 to 20 of about 30,915 (267)
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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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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Semantic Image Segmentation in Duckietown
Vestnik NSU. Series: Information Technologies, 2021 The article is devoted to evaluation of the applicability of existing semantic segmentation algorithms for the “Duckietown” simulator. The article explores classical semantic segmentation algorithms as well as ones based on neural networks. We also examined machine learning frameworks, taking into account all the limitations of the “Duckietown ...
D. E. Shabalina +3 more
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Semantic 3D Mapping from Deep Image Segmentation [PDF]
Applied Sciences, 2021 The perception and identification of visual stimuli from the environment is a fundamental capacity of autonomous mobile robots. Current deep learning techniques make it possible to identify and segment objects of interest in an image. This paper presents a novel algorithm to segment the object’s space from a deep segmentation of an image taken by a 3D ...
Francisco Martín +4 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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Satellite Image Semantic Segmentation
, 2021 8 pages, 3 ...
Guérin, Eric +3 more
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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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Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation [PDF]
, 2020 Lecture Notes in Computer Science ...
Sun, Guolei +3 more
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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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