Computer vision
Teaching machines to interpret and reason about the visual world, from object recognition to medical imaging.
Microsoft Research Blog
Unadversarial examples: Designing objects for robust vision
Many of the items and objects we use in our daily lives were designed with people in mind. In October, the Reserve Bank of Australia put out into the world its redesigned $100 banknote. Some…
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Unadversarial
This framework exploits the sensitivity of modern machine learning algorithms to input perturbations in order to design “robust objects,” i.e., objects that are explicitly optimized to be confidently detected or classified. We demonstrate the efficacy…
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RespireNet: A Deep Neural Network for Accurate Abnormality Detection in Lung Sounds using Device specific fine-tuning
Auscultation of respiratory sounds is the primary tool for screening and diagnosing lung diseases. Automated analysis, coupled with digital stethoscopes, can play a crucial role in enabling telescreening of fatal lung diseases. Deep neural networks…