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Enguang Zuo

1 accepted papers

2025

KCGAFormer: When Large-Kernel ConvFormer Meets KAN in Semantic Segmentation

ICASSP 2025accepted

Vision Transformer, with the distinctive architecture and self-attention mechanisms, had profoundly influenced the field of computer vision, establishing Transformer-based models as benchmarks for semantic segmentation. In this study, we propose a pioneering hybrid model that fuses Kolmogorov-Arnold…

Cited by 0SourceScholar