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Scaling Vision Transformers to 22 Billion Parameters., , , , , , , , , и 32 other автор(ы). CoRR, (2023)Revisiting the Calibration of Modern Neural Networks., , , , , , , и . NeurIPS, стр. 15682-15694. (2021)SCENIC: A JAX Library for Computer Vision Research and Beyond., , , , и . CoRR, (2021)Simple Open-Vocabulary Object Detection with Vision Transformers., , , , , , , , , и 4 other автор(ы). CoRR, (2022)Scaling Vision Transformers to 22 Billion Parameters., , , , , , , , , и 32 other автор(ы). ICML, том 202 из Proceedings of Machine Learning Research, стр. 7480-7512. PMLR, (2023)FlexiViT: One Model for All Patch Sizes., , , , , , , , , и . CVPR, стр. 14496-14506. IEEE, (2023)Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution., , , , , , , , , и 5 other автор(ы). CoRR, (2023)Denoising Pretraining for Semantic Segmentation., , , , , и . CVPR Workshops, стр. 4174-4185. IEEE, (2022)On Robustness and Transferability of Convolutional Neural Networks., , , , , , , , , и 4 other автор(ы). CVPR, стр. 16458-16468. Computer Vision Foundation / IEEE, (2021)Simple Open-Vocabulary Object Detection., , , , , , , , , и 4 other автор(ы). ECCV (10), том 13670 из Lecture Notes in Computer Science, стр. 728-755. Springer, (2022)