Results 11 to 20 of about 32,830 (265)
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
doaj +1 more source
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
doaj +1 more source
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
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Image semantic segmentation method based on GAN network and ENet model
The Journal of Engineering, 2021 Currently, image semantic segmentation has problems such as low accuracy and long running time. This paper proposes an image semantic segmentation method based on generative adversarial network and ENet model combined with deep neural network.
Huiyi Li
doaj +1 more source
Real-time Semantic Segmentation Method Based on Multi-path Feature Extraction [PDF]
Jisuanji kexue, 2022 The application of deep learning in the field of image semantic segmentation has greatly improved the accuracy of segmentation,but due to the limitations of speed and memory,these models can not be directly applied to embedded devices for real-time ...
CHENG Cheng, JIANG Ai-lian
doaj +1 more source