Titlebook: Computer Vision – ACCV 2022; 16th Asian Conferenc Lei Wang,Juergen Gall,Rama Chellappa Conference proceedings 2023 The Editor(s) (if applic

環(huán)形

Eugenia Siapera,Mariangela Veikourojection .ttention UNet, named ., for 3D medical image segmentation, especially for small targets. Considering the large proportion of the background in the 3D feature space, we introduce a projection strategy to project the 3D features into three orthogonal 2D planes to capture the contextual atte

謙虛的人

Eugenia Siapera,Mariangela Veikouned promising results in this domain with their effectiveness in learning feature representation. Both local and global features are crucial for medical image classification tasks, particularly for 3D medical image data, however, the receptive field of the convolution kernel limits the global featur

上漲

Eugenia Siapera,Mariangela Veikourmance under the cross-dataset scenario. However, these methods only leverage one level frequency information which limits their expressive ability. To overcome these limitations, we propose a multi-scale wavelet transformer framework for face forgery detection. Specifically, to take full advantage

cardiovascular

Mobile Learning and Higher Educationic models on scarce data via widely accepted deep-learning methods. To fully use the characteristics of medical volume-based images, we present a slice-mask representation to better regress the parameters of the 3D model. A data synthesis strategy is proposed to alleviate the lack of training data b

的染料

Claudia de Witt,Christina Gloerfeldections on different angles into a 3D CT image. For minimizing the X-ray induced ionizing radiation, sparse-view CBCT takes fewer projections by a wider-angle interval, but suffers from an inferior CT reconstruction quality. To solve this, the recent solutions mainly resort to synthesizing missing p

先鋒派

搖擺

進(jìn)步

fledged

Digital?Twin Architecture – An Introductiones of sensitive attributes. We address this problem by introducing fairness-aware regularization losses based on batch estimates of Demographic Parity, Equalized Odds, and a novel Intersection-over-Union measure. The experiments performed on facial and medical images from CelebA, UTKFace, and the SI

Eviction

Computer Vision – ACCV 2022978-3-031-26351-4Series ISSN 0302-9743 Series E-ISSN 1611-3349