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

星星

秘方药

HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model Pretraininglarities of images between different classes. Experiments with HiCo on five datasets demonstrate its favorable results over state-of-the-art approaches. The source code of this work is publicly available at ..

indemnify

忍受

Multi-View Coupled Self-Attention Network for Pulmonary Nodules Classificationon module is proposed to model spatial and dimensional correlations sequentially for learning global spatial contexts and further improving the identification accuracy. Compared with vanilla self-attention, which has three-fold advances: 1) uses less memory consumption and computational complexity t

expository

Multi-scale Wavelet Transformer for Face Forgery Detectionial features. These two attention modules are calculated through a unified transformer block for efficiency. A wide variety of experiments demonstrate that the proposed method is efficient and effective for both within and cross datasets.

表示向前

Improving the Quality of Sparse-view Cone-Beam Computed Tomography via Reconstruction-Friendly Interp a Reconstruction-Friendly Interpolation Network (RFI-Net), which first utilizes a 3D-2D attention network to learn inter-projection relations for synthesizing missing projections, and then introduces a novel Ramp-Filter loss to constrain a frequency consistency between the synthesized and real pro

Colonoscopy

moratorium

insomnia

meretricious

0302-9743 art VII: generative models for computer vision; segmentation and grouping; motion and tracking; document image analysis; big data, large scale methods. .978-3-031-26350-7978-3-031-26351-4Series ISSN 0302-9743 Series E-ISSN 1611-3349