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cs.LG2025
Broad stochastic configuration residual learning system for norm-convergent universal approximation
Han Su, Zhongyan Li, Wanquan Liu
Universal approximation serves as the foundation of neural network learning algorithms. However, some networks establish their universal approximation property by demonstrating tha…
cs.CV2025
AFR-CLIP: Enhancing Zero-Shot Industrial Anomaly Detection with Stateless-to-Stateful Anomaly Feature Rectification
Jingyi Yuan, Chenqiang Gao, Pengyu Jie +3
Recently, zero-shot anomaly detection (ZSAD) has emerged as a pivotal paradigm for industrial inspection and medical diagnostics, detecting defects in novel objects without requiri…
cs.CV2025★ 1 cited
MATCNN: Infrared and Visible Image Fusion Method Based on Multi-scale CNN with Attention Transformer
Jingjing Liu, Li Zhang, Xiaoyang Zeng +2
While attention-based approaches have shown considerable progress in enhancing image fusion and addressing the challenges posed by long-range feature dependencies, their efficacy i…