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Deep Representation Learning with Induced Structural Priors.

. University of California, San Diego, USA, (2018)base-search.net (ftcdlib:qt4t2045b6).

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Jian Xie

Yangpei Xie

Lan Xie

Mingliang Xie

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Are Labels Necessary for Neural Architecture Search?, , , , , и . ECCV (4), том 12349 из Lecture Notes in Computer Science, стр. 798-813. Springer, (2020)Perception Preserving Projections., , , и . BMVC, BMVA Press, (2013)Hyper-class augmented and regularized deep learning for fine-grained image classification., , , и . CVPR, стр. 2645-2654. IEEE Computer Society, (2015)Deeply-Supervised Nets., , , , и . AISTATS, том 38 из JMLR Workshop and Conference Proceedings, JMLR.org, (2015)Going Denser with Open-Vocabulary Part Segmentation., , , , , , и . ICCV, стр. 15407-15419. IEEE, (2023)Decoupling Representation and Classifier for Long-Tailed Recognition., , , , , , и . ICLR, OpenReview.net, (2020)Pri3D: Can 3D Priors Help 2D Representation Learning?, , , , и . ICCV, стр. 5673-5682. IEEE, (2021)Masked Feature Prediction for Self-Supervised Visual Pre-Training., , , , , и . CVPR, стр. 14648-14658. IEEE, (2022)On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness., , и . NeurIPS, стр. 3571-3583. (2021)PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding., , , , , и . ECCV (3), том 12348 из Lecture Notes in Computer Science, стр. 574-591. Springer, (2020)