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Adaptive fourier neural operators: Efficient token mixers for transformers

, , , , , and . arXiv preprint arXiv:2111.13587, (2021)

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Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators., , , , , and . ICLR, OpenReview.net, (2022)An Interpretable Model for Scene Graph Generation., , , , and . CoRR, (2018)Partial Convolution based Padding., , , , , , , and . CoRR, (2018)Video Interpolation and Prediction with Unsupervised Landmarks., , , , , and . CoRR, (2019)Dual Contrastive Loss and Attention for GANs., , , , , , and . ICCV, page 6711-6722. IEEE, (2021)Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement., , , , , , and . WACV, page 1506-1516. IEEE, (2024)Progressive Learning of 3D Reconstruction Network from 2D GAN Data., , , and . CoRR, (2023)VILA: On Pre-training for Visual Language Models., , , , , , , , , and . CoRR, (2023)Fine Detailed Texture Learning for 3D Meshes with Generative Models., , , and . CoRR, (2022)Partial Convolution for Padding, Inpainting, and Image Synthesis., , , , , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (5): 6096-6110 (May 2023)