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cs.CV2025
FDP: A Frequency-Decomposition Preprocessing Pipeline for Unsupervised Anomaly Detection in Brain MRI
Hao Li, Zhenfeng Zhuang, Jingyu Lin +5
Due to the diversity of brain anatomy and the scarcity of annotated data, supervised anomaly detection for brain MRI remains challenging, driving the development of unsupervised an…
cs.CV2024
Can KAN Work? Exploring the Potential of Kolmogorov-Arnold Networks in Computer Vision
Yueyang Cang, Yu hang liu, Li Shi
Kolmogorov-Arnold Networks(KANs), as a theoretically efficient neural network architecture, have garnered attention for their potential in capturing complex patterns. However, thei…