Results 1 to 10 of about 11,333,468 (334)
PHRASEO-SEMANTIC FIELD AND ITS SEMANTIC-PRAGMATIC STUDY [PDF]
Theoretical & Applied Science, 2019 This article examines the phraseo-semantic field of the Uzbek language, its modeling and semanticpragmatic analysis.
A. Mamatov
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Semantic Ray: Learning a Generalizable Semantic Field with Cross-Reprojection Attention [PDF]
Computer Vision and Pattern Recognition, 2023 In this paper, we aim to learn a semantic radiance field from multiple scenes that is accurate, efficient and generalizable. While most existing NeRFs target at the tasks of neural scene rendering, image synthesis and multi-view reconstruction, there are
F. Liu +3 more
semanticscholar +1 more source
Hyponymic and graduonymic relations of forestry terms in German and Uzbek languages [PDF]
E3S Web of Conferences, 2023 The article deals with the hyponymic analysis of forestry terms in German and Uzbek languages, and this is one of the main points of the scientific work.
Tilovova Gavhar
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Caucasian Xenoglossary in Modern Russian and Image of “Caucasian World” [PDF]
Гуманитарный вектор, 2021 The Caucasus has always been of interest for Russia. Russian-Caucasian contacts are being studied in political, economic, religious and social aspects. But linguistic horizon has not got enough treatment. The Caucasian loanwords in Russian are examined
Ruslan Kh. Kasimov
doaj +1 more source
SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field [PDF]
Computer Vision and Pattern Recognition, 2023 Despite the great success in 2D editing using user-friendly tools, such as Photoshop, semantic strokes, or even text prompts, similar capabilities in 3D areas are still limited, either relying on 3D modeling skills or allowing editing within only a few ...
Chong Bao +7 more
semanticscholar +1 more source
Zeitschrift für Sprachwissenschaft, 2022 In this paper, we present an overview of the methods associated with semantic maps, focusing on current challenges and new avenues for research in this area, which are at the core of the contributions to this special issue.
T. Georgakopoulos, Stéphane Polis
semanticscholar +1 more source
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers [PDF]
Computer Vision and Pattern Recognition, 2020 Most recent semantic segmentation methods adopt a fully-convolutional network (FCN) with an encoder-decoder architecture. The encoder progressively reduces the spatial resolution and learns more abstract/semantic visual concepts with larger receptive ...
Sixiao Zheng +10 more
semanticscholar +1 more source
Jezikoslovni zapiski, 2022 This article presents some results of cross-linguistic research on verbs of pushing and pulling in nine Slavic languages. These data call into question the traditional notion of the semantic field as a clear-cut class of lexical units.
Alina Sherstyuk, Tatiana Reznikova
doaj +1 more source
Transfer Beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation [PDF]
IEEE transactions on intelligent transportation systems (Print), 2021 Autonomous vehicles clearly benefit from the expanded Field of View (FoV) of 360° sensors, but modern semantic segmentation approaches rely heavily on annotated training data which is rarely available for panoramic images.
Jiaming Zhang +5 more
semanticscholar +1 more source
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016 In this work we address the task of semantic image segmentation with Deep Learning and make three main contributions that are experimentally shown to have substantial practical merit.
Liang-Chieh Chen +4 more
semanticscholar +1 more source