1. Attention is all you need;Vaswani;Adv. Neural Inf. Process. Syst.,2017
2. A. Dosovitskiy, L. Beyer, A. Kolesnikov, D. Weissenborn, X. Zhai, T. Unterthiner, M. Dehghani, M. Minderer, G. Heigold, S. Gelly, et al., An Image is Worth 16 × 16 Words: Transformers for Image Recognition at Scale, in: International Conference on Learning Representations, 2020.
3. C.-F.R. Chen, Q. Fan, R. Panda, CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021.
4. Laryngoscope8: Laryngeal image dataset and classification of laryngeal disease based on attention mechanism;Yin;Pattern Recognit. Lett.,2021
5. Skin lesion analysis toward melanoma detection: A challenge at the 2017 international symposium on biomedical imaging (isbi), hosted by the international skin imaging collaboration (isic);Codella,2018