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pro vyhledávání: '"JIA, Xi"'
Deep image registration has demonstrated exceptional accuracy and fast inference. Recent advances have adopted either multiple cascades or pyramid architectures to estimate dense deformation fields in a coarse-to-fine manner. However, due to the casc
Externí odkaz:
http://arxiv.org/abs/2407.13426
Prototype learning is widely used in face recognition, which takes the row vectors of coefficient matrix in the last linear layer of the feature extraction model as the prototypes for each class. When the prototypes are updated using the facial sampl
Externí odkaz:
http://arxiv.org/abs/2405.12447
Publikováno v:
Eur.Phys.J.C 84 (2024) 7, 736
We study the scalar induced gravitational waves (SIGWs) from a chiral scalar-tensor theory of gravity. The parity-violating (PV) Lagrangian contains the Chern-Simons (CS) term and PV scalar-tensor terms, which are built of the quadratic Riemann tenso
Externí odkaz:
http://arxiv.org/abs/2404.05289
Publikováno v:
Phys. Rev. D 110, 023537 (2024)
We investigate the scalar induced gravitational waves (SIGWs) in metric teleparallel gravity with the Nieh-Yan (NY) term, which results in parity violation during the radiation-dominated era. By solving the equations of motion of linear scalar pertur
Externí odkaz:
http://arxiv.org/abs/2404.02922
This paper introduces the concept of uniform classification, which employs a unified threshold to classify all samples rather than adaptive threshold classifying each individual sample. We also propose the uniform classification accuracy as a metric
Externí odkaz:
http://arxiv.org/abs/2403.07289
In unsupervised medical image registration, the predominant approaches involve the utilization of a encoder-decoder network architecture, allowing for precise prediction of dense, full-resolution displacement fields from given paired images. Despite
Externí odkaz:
http://arxiv.org/abs/2402.03585
Sample-to-class-based face recognition models can not fully explore the cross-sample relationship among large amounts of facial images, while sample-to-sample-based models require sophisticated pairing processes for training. Furthermore, neither met
Externí odkaz:
http://arxiv.org/abs/2311.02523
Autor:
Chen-Yu Zhang, An-Jun Ou, Ling Jin, Nan-Shi-Yu Yang, Ping Deng, Cha-Xiang Guan, Xiao-Ting Huang, Jia-Xi Duan, Yong Zhou
Publikováno v:
Cell Communication and Signaling, Vol 22, Iss 1, Pp 1-19 (2024)
Abstract Background Cadmium is a ubiquitous toxic metal and environmental pollutant. More and more studies have shown that cadmium exposure can damage lung function. Alveolar epithelial cells (AECs) are structural cells that maintain the stability of
Externí odkaz:
https://doaj.org/article/c1ce4849be904bd0bb2a0f7178439526
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-28 (2024)
Abstract The automation of underground articulated vehicles is a critical step in advancing digital and smart mining. Current nonlinear model predictive control (NMPC) controllers face challenges such as delays in turning on large curvature paths and
Externí odkaz:
https://doaj.org/article/29821b7df4a74b9c84bdcd7ace6b44d9
U-Net style networks are commonly utilized in unsupervised image registration to predict dense displacement fields, which for high-resolution volumetric image data is a resource-intensive and time-consuming task. To tackle this challenge, we first pr
Externí odkaz:
http://arxiv.org/abs/2307.02997