Web: http://arxiv.org/abs/2201.08625

Jan. 24, 2022, 2:10 a.m. | Attila Lengyel, Robert-Jan Bruintjes, Marcos Baptista Rios, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert

cs.CV updates on arXiv.org arxiv.org

The second edition of the "VIPriors: Visual Inductive Priors for
Data-Efficient Deep Learning" challenges featured five data-impaired
challenges, where models are trained from scratch on a reduced number of
training samples for various key computer vision tasks. To encourage new and
creative ideas on incorporating relevant inductive biases to improve the data
efficiency of deep learning models, we prohibited the use of pre-trained
checkpoints and other transfer learning techniques. The provided baselines are
outperformed by a large margin in all …

arxiv cv data deep deep learning learning

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