- A. Dosovitskiy et al., "An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale," ICLR, 2021.
- H. Touvron et al., "Training data-efficient image transformers and distillation through attention," ICML, 2021.
- N. Carion et al., "End-to-End Object Detection with Transformers," ECCV, 2020.
- S. Zheng et al., "Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers," CVPR, 2021
- Z. Huang et al., "CCNet: Criss-Cross Attention for Semantic Segmentation," ICCV, 2019
- H. Li et al., "Pyramid Attention Network for Semantic Segmentation," AAAI, 2019
- G. Bertasius and J. Wang, "Learning Temporal Attention in Dilated Convolutional Networks for Action Recognition," CVPR, 2022
- A. Rnab et al., "ViViT: A Video Vision Transformer," ICCV, 2021
- A. Vaswani et al., "Attention is All You Need," NeurIPS, 2017
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