3 papers
cs.CV2026
SPDCN: Strip-based Deformable Convolutional Network for Steel Surface Defect Segmentation
Zhongming Liu, Bingbing Jiang, Guangxin Wan +1
Steel surface defect segmentation is critical for industrial quality inspection, yet existing methods struggle with elongated, anisotropic defects such as cracks and scratches due…
cs.CV2026
Revisiting the Ordering of Channel and Spatial Attention: A Comprehensive Study on Sequential and Parallel Designs
Zhongming Liu, Bingbing Jiang
Attention mechanisms have become a core component of deep learning models, with Channel Attention and Spatial Attention being the two most representative architectures. Current res…
cs.CV2024
Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection
Chenwei Wu, David Restrepo, Zitao Shuai +2
In-context learning (ICL) with Large Vision Models (LVMs) presents a promising avenue in medical image segmentation by reducing the reliance on extensive labeling. However, the ICL…