Abstract: This brief proposes a novel data-format-based image deblurring accelerator with layer normalization and UNet architecture optimization for mobile cameras. As the demand for photography in ...
Image normalization strategies for 3-D synthetic aperture sonar (SAS) is a relatively underexplored area for target classification leveraging convolutional neural networks (CNNs). For 3-D SAS data, ...
Purpose: This study aimed to investigate the characteristics of macular edema observed by fundus autofluorescence (FAF) and to analyze noninvasive indicators of ischemia in retinal vein occlusion (RVO ...
Each dot represents an image of an animal from the video. As training progresses, clusters corresponding to individual animals become clearer, plotted at training with 0, 2,000, 4,000 and 15,000 ...
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