Strip steel surface defect detection (S3D) is a critical task in industrial quality control, and existing detectors often struggle to precisely localize fine defect structures within complex textured backgrounds. High-frequency cues, such as subtle edges and texture patterns, are known to be effective for capturing fin...
Yan-Ge Sun, Cheng-Long Xu, Hua-Ping Guo et al.· IEEE Transactions on Automat...· 0 citations
Zero-shot image denoising aims to restore a clean image from a single noisy observation without relying on external training data, which remains a challenging problem due to extremely limited supervision and complex noise characteristics. To address this issue, we propose a zero-shot denoising framework that combines a...
Hui-Hong Huang, Xiaowen Shi, Yong-Qiang Tang et al.· International Conference on...· 0 citations
The unsupervised representation learning of the multiplex network has attracted significant attention due to its powerful ability to model multiple relation types between nodes. Existing methods generally learn representations with the original graph structure but disregard the fact that the prior graph structure is in...
Yong-Qiang Tang, Rui-Wen Yuan, Yuan Xie et al.· IEEE Transactions on Knowled...· 0 citations
A Progressive Prompt-Guided Enhancement Network (PPGENet) for unsupervised low-light image enhancement that leverages multimodal priors from CLIP and achieves superior performance in both quantitative metrics and visual quality.
Ming-Tong Chen, Xiaowen Shi, Yongqiang Tang et al.· International Conference on...· 0 citations
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