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Found 5 papers, 3 papers with code
A Multimodal Approach to The Detection and Classification of Skin Diseases
With Chain of Options and preliminary disease recommendations from the image model, this method achieves state of the art accuracy 91% in diagnosing patient skin disease given just an image of the afflicted area as well as a patient description of the symptoms (such as itchiness or dizziness).
ActiveNeRF: Learning Accurate 3D Geometry by Active Pattern Projection
We design a learnable active pattern rendering pipeline which jointly learns the scene geometry and the active pattern.
ActiveZero: Mixed Domain Learning for Active Stereovision with Zero Annotation
First, we demonstrate the transferability of our method to out-of-distribution real data by using a mixed domain learning strategy.
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Deep learning frameworks have often focused on either usability or speed, but not both.
Automatic Differentiation in PyTorch
In this article, we describe an automatic differentiation module of PyTorch — a library designed to enable rapid research on machine learning models.
