Meta Omnium is a dataset-of-datasets spanning multiple vision tasks including recognition, keypoint localization, semantic segmentation and regression. Meta Omnium enables meta-learning researchers to evaluate model generalization to a much wider array of tasks than previously possible, and provides a single framework for evaluating meta-learners across a wide suite of vision applications in a consistent manner.
Source: Meta Omnium: A Benchmark for General-Purpose Learning-to-LearnPaper | Code | Results | Date | Stars |
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