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Momentum Contrast for Unsupervised Visual Representation Learning, , , , и . (2019)cite arxiv:1911.05722Comment: CVPR 2020 camera-ready. Code: https://github.com/facebookresearch/moco.Long-Term Feature Banks for Detailed Video Understanding., , , , , и . CoRR, (2018)Reversible Vision Transformers., , , , , , и . CoRR, (2023)The effectiveness of MAE pre-pretraining for billion-scale pretraining., , , , , , , , , и 2 other автор(ы). ICCV, стр. 5461-5471. IEEE, (2023)Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution., , , , , , , и . ICCV, стр. 3434-3443. IEEE, (2019)Scaling Language-Image Pre-training via Masking., , , , и . CoRR, (2022)Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference., , , , , , , и . CoRR, (2022)Improved Baselines with Momentum Contrastive Learning, , , и . (2020)cite arxiv:2003.04297Comment: Tech report, 2 pages + references.Diffusion Models as Masked Autoencoders., , , , , , , , , и . ICCV, стр. 16238-16248. IEEE, (2023)PyTorchVideo: A Deep Learning Library for Video Understanding., , , , , , , , , и 6 other автор(ы). ACM Multimedia, стр. 3783-3786. ACM, (2021)