Funder
Shenzhen Fundamental Research Fund
Basic and Applied Basic Research Foundation of Guangdong Province
Publisher
Springer Science and Business Media LLC
Reference73 articles.
1. Balzer W, Takahashi M, Ohta J et al (1991) Weight quantization in boltzmann machines. Neural Netw 4(3):405–409
2. Beal J, Kim E, Tzeng E et al (2020) Toward transformer-based object detection. arXiv:2012.09958
3. Bhojanapalli S, Chakrabarti A, Glasner D et al (2021) Understanding robustness of transformers for image classification. In: Proceedings of the IEEE/CVF international conference on computer vision, pp 10,231–10,241
4. Brown T, Mann B, Ryder N et al (2020) Language models are few-shot learners. Adv Neural Inf Process Syst 33:1877–1901
5. Cao H, Wang Y, Chen J et al (2022) Swin-unet: unet-like pure transformer for medical image segmentation. In: European conference on computer vision. Springer, pp 205–218