4 papers
Bi-Level Collaborative Learning for Few-Shot Scribble-Supervised Medical Image Segmentation
Xiang-Xiang Su, Yufan Ye, Yihang Zheng +2
Scribble annotations offer an efficient alternative to costly pixel-wise labeling for medical image segmentation, yet in real clinical scenarios, scribble-annotated samples are oft…
A Saddle Point Remedy: Power of Variable Elimination in Non-convex Optimization
Min Gan, Guang-Yong Chen, Yang Yi +1
The proliferation of saddle points, rather than poor local minima, is increasingly understood to be a primary obstacle in large-scale non-convex optimization for machine learning.…
Efficient Learnable Collaborative Attention for Single Image Super-Resolution
Yigang Zhao Chaowei Zheng, Jiannan Su, GuangyongChen +1
Non-Local Attention (NLA) is a powerful technique for capturing long-range feature correlations in deep single image super-resolution (SR). However, NLA suffers from high computati…
Variable Projection Algorithms: Theoretical Insights and A Novel Approach for Problems with Large Residual
Guangyong Chen, Peng Xue, Min Gan +3
This paper delves into an in-depth exploration of the Variable Projection (VP) algorithm, a powerful tool for solving separable nonlinear optimization problems across multiple doma…