Embedded prompt tuning: Towards enhanced calibration of pretrained models for medical images

Author:

Zu WenqiangORCID,Xie ShenghaoORCID,Zhao QingORCID,Li Guoqi,Ma LeiORCID

Funder

Beijing Natural Science Foundation

Beijing Municipal Science and Technology Commission

Publisher

Elsevier BV

Reference54 articles.

1. Exploring visual prompts for adapting large-scale models;Bahng,2022

2. Exploring visual prompts for adapting large-scale models;Bahng,2022

3. On the opportunities and risks of foundation models;Bommasani,2021

4. Chen, Shoufa, Chongjian, GE, Tong, Zhan, Wang, Jiangliu, Song, Yibing, Wang, Jue, Luo, Ping, 2022. AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition. In: Advances in Neural Information Processing Systems.

5. Dynamic feature splicing for few-shot rare disease diagnosis;Chen;Med. Image Anal.,2023

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