A simpler path to better computer vision

Research finds using a large collection of simple, un-curated synthetic image generation programs to pretrain a computer vision model for image classification yields greater accuracy than employing other pretraining methods that are more costly and time consuming, and less scalable.

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Manel Baradad ,Antonio Torralba ,Rogerio Feris ,Tongzhou Wang ,Phillip Isola ,Artificial Intelligence Laboratory ,Delta Electronics Professor Of Electrical Engineering ,Watson Ai Lab ,Xyla Inc ,Jpmorgan Chase Bank ,Computer Science ,Delta Electronics Professor ,Electrical Engineering ,Chase Bank ,Neural Information Processing ,Procedural Image Program ,Mage Generation Programs ,Computer Vision ,Machine Learning ,Care Training ,Synthetic Data ,