In this study, a novel end-to-end image fusion method, DCAFusion, is proposed. The method is based on Swin Transformer and introduces a dual cross-attention mechanism for the task of fusing infrared and visible, multi-focus and medical images. Although infrared and visible datasets contain ...
该项目是关于大型语言模型的训练框架,并提出了Dual Chunk Attention (DCA)的概念,通过该框架,Llama2 70B能够处理超过100k个标记的上下文窗口而无需持续训练。这个项目的GitHub页面提供了代码和数据,以及发布版本和发行说明 argilla-io/distilabel 类型:开源项目推荐星:5类别:数据集构建解读提供一个AI反馈(AI Feedback...
3.4. Multi-head dual-path cross-attention We propose a spatiotemporal dual-path cross-attention block (DCA) to interact and integrate the complex spatiotemporal patterns in fMRI. The Structure of Dual-Path Cross-Attention Block (DCA) as shown in Fig. 3. Our DCA block also includes two steps...
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Simultaneously, dual and triple agonists are gaining attention as a promising therapeutic approach. Despite the development of GLP-1 monoagonists, new peptides that combine the pharmacology of GLP-1 with other gut peptides increase the efficacy of these agonists while reducing their dose-related gast...
The cross-section of the incident beam was collimated to 35 mm (horizontal) ×5 mm (vertical) by the slit. The distances between the center of the rotational stage and the pinhole collimator and between the pinhole collimator and the detective surface were 28.4 mm and 24.6 ...
Simultaneously, dual and triple agonists are gaining attention as a promising therapeutic approach. Despite the development of GLP-1 monoagonists, new peptides that combine the pharmacology of GLP-1 with other gut peptides increase the efficacy of these agonists while reducing their dose-related gast...
UNET_CCA and UNET_SCA, incorporating cross-attention mechanisms, outperform UNET without attention mechanisms. Furthermore, UNET_DCA, incorporating both Channel Cross-Attention and Spatial Cross-Attention mechanisms, outperforms UNET_CCA and UNET_SCA, which only incorporate one attention mechan...
PKMT-Net consists of three key modules: a multi-scale soft segmentation module, a cross-attention module, and a weighted multi-scale fusion module. Initially, the multi-scale soft segmentation module simulated the pathologist’s reading of histopathological images at various scales, capturing both ...
The cross-sectional study design limits the ability to identify the long-term impact of transitions and preparation for life after sport. Future longitudinal studies are needed to track athletes’ progress. There is a clear need for research on the mentoring of DC athletes. This could enhance ...