Results 1 to 10 of about 455,500 (283)
Visual Classification via Description from Large Language Models [PDF]
Vision-language models (VLMs) such as CLIP have shown promising performance on a variety of recognition tasks using the standard zero-shot classification procedure -- computing similarity between the query image and the embedded words for each category ...
Sachit Menon, Carl Vondrick
semanticscholar +1 more source
DEEP LEARNING BASED FEATURE MATCHING AND ITS APPLICATION IN IMAGE ORIENTATION [PDF]
Matching images containing large viewpoint and viewing direction changes, resulting in large perspective differences, still is a very challenging problem.
L. Chen, F. Rottensteiner, C. Heipke
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Monitoring the mean with least-squares support vector data description
: Multivariate control charts are essential tools in multivariate statistical process control (MSPC). “Shewhart-type” charts are control charts using rational subgroupings which are effective in the detection of large shifts.
Edgard M. Maboudou-Tchao
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Poly(aryl-ether-ketone) materials (PAEKs), a class of high-performance polymers comprised of polyetheretherketone (PEEK) and polyetherketoneketone (PEKK), have attracted interest in standard dental procedures due to their inherent characteristics in ...
Syazwani Mohamad Zol +8 more
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Standards in neurosonology. Part III [PDF]
The paper presents standards related to ultrasound imaging of the cerebral vasculature and structures. The aim of this paper is to standardize both the performance and description of ultrasound imaging of the extracranial and intracranial cerebral ...
Joanna Wojczal +5 more
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One of the tasks of the government is fulfilling community rights by providing services. Services provided should follow existing laws and regulations; fast, reliable, and appropriate services are the main foundation for fulfilling community rights ...
Zainal Arifin
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Learning data-driven reduced elastic and inelastic models of spot-welded patches
Solving mechanical problems in large structures with rich localized behaviors remains a challenging issue despite the enormous advances in numerical procedures and computational performance.
Reille Agathe +8 more
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Machine learning techniques, especially deep learning, are playing an increasingly important role in our lives. Deep learning uses different models to extract information from the data.
Ismail Negabi +3 more
semanticscholar +1 more source
A normalized autoencoder for LHC triggers
Autoencoders are an effective analysis tool for the LHC, as they represent one of its main goal of finding physics beyond the Standard Model. The key challenge is that out-of-distribution anomaly searches based on the compressibility of features do not ...
Barry M. Dillon, Luigi Favaro, Tilman Plehn, Peter Sorrenson, Michael Krämer
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. A new global high-resolution coupled climate model, EC-Earth3P-HR has been developed by the EC-Earth consortium, with a resolution of approximately 40 km for the atmosphere and 0.25 ∘ for the ocean, alongside with a standard-resolution version of the ...
R. Haarsma +26 more
semanticscholar +1 more source

