import transformers from transformers import AutoModel import torch model = AutoModel.from_pretrained("theaiinstitute/theia-base-patch16-224-cdiv", trust_remote_code ...
Abstract: Transferable adversarial examples (AEs) are visually indistinguishable from benign images, but can successfully mislead unknown deep neural networks. However, existing AEs normally vary ...
Abstract: For image-related deep learning tasks, the first step often involves reading data from external storage and performing preprocessing on the CPU. As accelerator speed increases and the number ...
As a major infectious disease, tuberculosis (TB) still poses a threat to people’s health in China. As a triage test for TB, reading chest radiography with traditional approach ends up with high ...
Department of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054 China Department of Computer Science and Technology, Xi’an University of Science and Technology, ...
Microsoft and Intel have devised a new approach to malware detection, dubbed STAMINA, that involves deep learning and the representation of malware as images. STAtic Malware-as-Image Network Analysis ...
Understanding the computational principles that underlie human vision is a key challenge for neuroscience and could help improve machine vision. Feedforward neural network models process their input ...
Background: Convolution neural networks (CNN) is increasingly used in computer science and finds more and more applications in different fields. However, analyzing brain network with CNN is not ...
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