Meet PUG: A New AI Research from Meta AI on Photorealistic, Semantically Controllable Datasets Using Unreal Engine for Robust Model Evaluation

Learning representations of data that are transferable and applicable across tasks is a lofty objective in machine learning. The availability of large amounts of controllable, realistic data for evaluation and training is crucial for achieving this aim and monitoring progress. This is especially the case when thinking about the robustness and fairness of deep neural […]

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