Zobrazeno 1 - 10
of 999
pro vyhledávání: '"Optical flow estimation"'
Publikováno v:
IEEE Access, Vol 12, Pp 45560-45571 (2024)
Recent advancements in optical flow estimation have led to notable performance gains, driven by the adoption of transformer architectures, enhanced data augmentation, self-supervised learning techniques, the use of multiple video frames and iterative
Externí odkaz:
https://doaj.org/article/f5c79973210c4565902dfdc2ae8386a3
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 2, Pp 2215-2231 (2023)
Abstract For visual estimation of optical flow, which is crucial for various vision analyses, unsupervised learning by view synthesis has emerged as a promising alternative to supervised methods because the ground-truth flow is not readily available
Externí odkaz:
https://doaj.org/article/9f8eb5691ec34893ba72e8f8d16ebaa8
Publikováno v:
Sensors, Vol 24, Iss 16, p 5249 (2024)
In recent years, the increasing frequency of climate change and extreme weather events has significantly elevated the risk of levee breaches, potentially triggering large-scale floods that threaten surrounding environments and public safety. Rapid an
Externí odkaz:
https://doaj.org/article/45e9be9a682c46459777e203877a617d
Publikováno v:
Fractal and Fractional, Vol 8, Iss 4, p 179 (2024)
We propose an adaptive fractional multi-scale optimization optical flow algorithm, which for the first time improves the over-smoothing of optical flow estimation under the total variation model from the perspective of global feature and local textur
Externí odkaz:
https://doaj.org/article/cbba13f0c5b042629d347448a7c1129d
Publikováno v:
IEEE Access, Vol 11, Pp 103419-103430 (2023)
Video Super-Resolution (VSR) is the task of reconstructing high-resolution (HR) video sequences from low-resolution (LR) video sequences. Apart from spatial information of reference frames, temporal information of neighboring frames is also important
Externí odkaz:
https://doaj.org/article/b7ccb6edbe97430b984897c7b6218718
Publikováno v:
IEEE Access, Vol 11, Pp 69989-70000 (2023)
Optical flow estimation is a fundamental task that aims to find the 2-dimensional motion field by identifying correspondences between two input images. For quite a long time, the correlation volume followed by convolutional neural networks (CNN) to d
Externí odkaz:
https://doaj.org/article/6d54c49e8a774645937829f0896e5a8d
Akademický článek
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Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 426 (2024)
Satellite time-series data contain information in three dimensions—spatial, spectral, and temporal—and are widely used for monitoring, simulating, and evaluating Earth activities. However, some time-phase images in the satellite time series data
Externí odkaz:
https://doaj.org/article/6b62bb18a1e947b4a463039e686c81af
Publikováno v:
Remote Sensing, Vol 15, Iss 23, p 5608 (2023)
Accurate building extraction holds paramount importance in various applications such as urbanization rate calculations, urban planning, and resource allocation. In response to the escalating demand for precise low-altitude unmanned aerial vehicle (UA
Externí odkaz:
https://doaj.org/article/ce8ecd229410427e95eb5f9e0ca1e182
Akademický článek
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