Zobrazeno 1 - 10
of 407
pro vyhledávání: '"Xu Xinxing"'
Autor:
Zhou, Yang, Faith, Tan Li Hui, Xu, Yanyu, Leng, Sicong, Xu, Xinxing, Liu, Yong, Goh, Rick Siow Mong
Medical Vision-Language Pretraining (MedVLP) shows promise in learning generalizable and transferable visual representations from paired and unpaired medical images and reports. MedVLP can provide useful features to downstream tasks and facilitate ad
Externí odkaz:
http://arxiv.org/abs/2410.21969
Autor:
Lei, Xiaofeng, Tham, Yih-Chung, Goh, Jocelyn Hui Lin, Feng, Yangqin, Bai, Yang, Da Soh, Zhi, Goh, Rick Siow Mong, Xu, Xinxing, Liu, Yong, Cheng, Ching-Yu
Community vision screening plays a crucial role in identifying individuals with vision loss and preventing avoidable blindness, particularly in rural communities where access to eye care services is limited. Currently, there is a pressing need for a
Externí odkaz:
http://arxiv.org/abs/2410.20309
Autor:
Yan, Yunlu, Zhu, Lei, Li, Yuexiang, Xu, Xinxing, Goh, Rick Siow Mong, Liu, Yong, Khan, Salman, Feng, Chun-Mei
Publikováno v:
International Conference on Medical Image Computing and Computer-Assisted Intervention 2024
Improving the fairness of federated learning (FL) benefits healthy and sustainable collaboration, especially for medical applications. However, existing fair FL methods ignore the specific characteristics of medical FL applications, i.e., domain shif
Externí odkaz:
http://arxiv.org/abs/2410.19765
Autor:
Yu, Kai, Zhou, Yang, Bai, Yang, Da Soh, Zhi, Xu, Xinxing, Goh, Rick Siow Mong, Cheng, Ching-Yu, Liu, Yong
Retinal foundation models aim to learn generalizable representations from diverse retinal images, facilitating label-efficient model adaptation across various ophthalmic tasks. Despite their success, current retinal foundation models are generally re
Externí odkaz:
http://arxiv.org/abs/2408.05618
Autor:
He, Yuanyang, Huang, Zitong, Xu, Xinxing, Goh, Rick Siow Mong, Khan, Salman, Zuo, Wangmeng, Liu, Yong, Feng, Chun-Mei
Black-box tuning has attracted recent attention due to that the structure or inner parameters of advanced proprietary models are not accessible. Proxy-tuning provides a test-time output adjustment for tuning black-box language models. It applies the
Externí odkaz:
http://arxiv.org/abs/2407.01155
Autor:
Yuan, Han, Hong, Chuan, Jiang, Pengtao, Zhao, Gangming, Tran, Nguyen Tuan Anh, Xu, Xinxing, Yan, Yet Yen, Liu, Nan
Background: Pneumothorax is an acute thoracic disease caused by abnormal air collection between the lungs and chest wall. To address the opaqueness often associated with deep learning (DL) models, explainable artificial intelligence (XAI) methods hav
Externí odkaz:
http://arxiv.org/abs/2403.18871
Publikováno v:
The 38th Annual AAAI Conference on Artificial Intelligence, 2024
Visual perimetry is an important eye examination that helps detect vision problems caused by ocular or neurological conditions. During the test, a patient's gaze is fixed at a specific location while light stimuli of varying intensities are presented
Externí odkaz:
http://arxiv.org/abs/2403.05112
Autor:
Huang, Zitong, Chen, Ze, Chen, Zhixing, Zhou, Erjin, Xu, Xinxing, Goh, Rick Siow Mong, Liu, Yong, Zuo, Wangmeng, Feng, Chunmei
Few-shot Class-Incremental Learning (FSCIL) aims to continuously learn new classes based on very limited training data without forgetting the old ones encountered. Existing studies solely relied on pure visual networks, while in this paper we solved
Externí odkaz:
http://arxiv.org/abs/2401.01598
Autor:
Feng, Chun-Mei, Bai, Yang, Luo, Tao, Li, Zhen, Khan, Salman, Zuo, Wangmeng, Xu, Xinxing, Goh, Rick Siow Mong, Liu, Yong
Albeit progress has been made in Composed Image Retrieval (CIR), we empirically find that a certain percentage of failure retrieval results are not consistent with their relative captions. To address this issue, this work provides a Visual Question A
Externí odkaz:
http://arxiv.org/abs/2312.12273