A qualitative study of 30 UK adults found that many people see ultra-processed foods as unhealthy but struggle to define them ...

The changes have been years in the making and represent a federal hiring apparatus more focused on applicable skills than ...

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.

Abstract: Adversarial attacks introduced subtle perturbations to input images to mislead classification models into producing incorrect predictions. Training models using adversarial examples defended ...

1 Faculty of Informatics, The University of Fukuchiyama, Kyoto, Japan. 2 School of Radiological Technology, Gunma Prefectural College of Health Sciences, Gunma, Japan. 3 School of Health Sciences, ...

Abstract: Sample augmentation is crucial for improving land-cover classification performance when the samples are limited. However, the traditional sample augmentation approach concentrates on ...

Swift for TensorFlow was an experiment in the next-generation platform for machine learning, incorporating the latest research across machine learning, compilers, differentiable programming, systems ...

Looking at the image classification example http://www.deepdetect.com/tutorials/imagenet-classifier/ using googlenet I am not seeing that the mean.binaryproto / mean.npy seems to be used for inference ...