Author

Ke-Chen Song

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Sep 2026

Hierarchical Dense Aggregation Network for Few-Shot Metal Surface Defect Segmentation

Few-shot defect segmentation (FSDS) has emerged as an effective approach to address the challenge of limited annotated samples in industrial quality inspection. However, existing methods often rely on features extracted from a single semantic level, without effectively suppressing noise interference, which leads to sub...

Hu Feng, Ke-Chen Song, Xian Tao et al. · IEEE Transactions on Image P... · 0 citations

Review Open access Sep 2026

Deep Learning-Based Steel Surface Defect Detection: A Survey

With the rapid development of manufacturing, increasingly stringent requirements for material quality and inspection efficiency have promoted the widespread application of deep learning-based nondestructive testing technologies in industrial quality control. In recent years, steel surface defect detection has expanded...

Xin Wen, Zhen-Hao Yu, Yu He et al. · Coatings · 1 citation

2026

Efficient Mamba-Centered Global-Local Refinement for Language-Guided Visual Grounding in Robotic Grasping

Enabling robots to understand natural language and locate referred objects for grasping remains a key challenge. Language-guided visual grounding connects visual perception and language understanding. As a fine-grained setting, Referring Image Segmentation (RIS) further provides pixel-level masks, which are particularl...

Xiaozheng Liu, Ke-Chen Song, Zeng-Lin Xu et al. · IEEE Transactions on Automat... · 0 citations