no code implementations • 19 Jul 2023 • Jia-Xin Zhuang, Jiabin Cai, JianGuo Zhang, Wei-Shi Zheng, Ruixuan Wang
The CARE framework needs bounding boxes to represent the lesion regions of rare diseases.
no code implementations • 15 Jun 2023 • Jia-Xin Zhuang, Luyang Luo, Hao Chen
Masked autoencoder (MAE) is a promising self-supervised pre-training technique that can improve the representation learning of a neural network without human intervention.
no code implementations • 11 Aug 2022 • Jia-Xin Zhuang, Xiansong Huang, Yang Yang, Jiancong Chen, Yue Yu, Wei Gao, Ge Li, Jie Chen, Tong Zhang
In this paper, we present OpenMedIA, an open-source toolbox library containing a rich set of deep learning methods for medical image analysis under heterogeneous Artificial Intelligence (AI) computing platforms.
1 code implementation • 25 Aug 2021 • Jia-Xin Zhuang, Wanying Tao, Jianfei Xing, Wei Shi, Ruixuan Wang, Wei-Shi Zheng
In this paper, a simple yet effective optimization method is proposed to interpret the activation of any kernel of interest in CNN models.
1 code implementation • 20 Jun 2021 • Yuqiao Xian, Jia-Xin Zhuang, Fufu Yu
This is a technical report for CVPR 2021 AliProducts Challenge.
2 code implementations • 19 Apr 2021 • Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun, Ke Li, Chunhua Shen
Specifically, we find the final embedding obtained by the mainstream SSL methods contains the most fruitful information, and propose to distill the final embedding to maximally transmit a teacher's knowledge to a lightweight model by constraining the last embedding of the student to be consistent with that of the teacher.