CVNets
Sachin Mehta, Farzad Abdolhosseini, Mohammad Rastegari
Abstract
We introduce CVNets, a high-performance open-source library for training deep neural networks for visual recognition tasks, including classification, detection, and segmentation. CVNets supports image and video understanding tools, including data loading, data transformations, novel data sampling methods, and implementations of several standard networks with similar or better performance than previous studies. Our source code is available at: https://github.com/apple/ml-cvnets.
Topics & Concepts
Computer scienceArtificial intelligenceCode (set theory)Open sourceSource codeSegmentationImplementationArtificial neural networkImage segmentationContextual image classificationDeep neural networksImage (mathematics)Pattern recognition (psychology)Computer visionSoftwareProgramming languageSet (abstract data type)Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot LearningAdversarial Robustness in Machine Learning