no code implementations • 23 Apr 2024 • Wen Liang, Peipei Ran, Mengchao Bai, Xiao Liu, P. Bilha Githinji, Wei Zhao, Peiwu Qin
To better harness the potential of transformers for SOD, we propose a novel parameter-efficient fine-tuning method aimed at reducing the number of training parameters while enhancing the salient object detection capability.
no code implementations • 4 Mar 2024 • P. Bilha Githinji, Xi Yuan, Zhenglin Chen, Ijaz Gul, Dingqi Shang, Wen Liang, Jianming Deng, Dan Zeng, Dongmei Yu, Chenggang Yan, Peiwu Qin
Realizing sufficient separability between the distributions of healthy and pathological samples is a critical obstacle for pathology detection convolutional models.
no code implementations • 18 Feb 2024 • P. Bilha Githinji, Keming Zhao, Jiantao Wang, Peiwu Qin
Ocular conditions are a global concern and computational tools utilizing retinal fundus color photographs can aid in routine screening and management.