Results 11 to 20 of about 12,457,928 (304)
Personalized Image Semantic Segmentation [PDF]
appeared at ...
Yu Zhang +4 more
openaire +3 more sources
Satellite Image Semantic Segmentation
8 pages, 3 ...
Guérin, Eric +3 more
openaire +4 more sources
Patch-based semantic labelling of images. [PDF]
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
core +3 more sources
Semantic segmentation of outdoor panoramic images
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 +4 more sources
Improved image semantic segmentation with domain adaptation for mechanical parts
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
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
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
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
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
Interaction between High-Level and Low-Level Image Analysis for Semantic Video Object Extraction [PDF]
The task of extracting a semantic video object is split into two subproblems, namely, object segmentation and region segmentation. Object segmentation relies on a priori assumptions, whereas region segmentation is data-driven and can be solved in an ...
Ebrahimi Touradj +7 more
core +2 more sources

