Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn

1 code implementation • CVPR 2023 • Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy Hospedales

Meta-learning and other approaches to few-shot learning are widely studied for image recognition, and are increasingly applied to other vision tasks such as pose estimation and dense prediction.

Few-Shot Learning Pose Estimation +1