Hardware-Aware Functional Kolmogorov-Arnold Networks for Efficient Medical Image Enhancement and Segmentation
cs.CV, cs.AR, cs.LG
Submitted: 2026-09-28
Updated: 2026-09-28
Terminology
Sources
- Attention U-Net: Learning Where to Look for the Pancreas
- TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
- U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
- MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- CogAdapt: Adapting Clinical ECG Foundation Models for Wearable Cognitive Load Assessment
- MambaGaze: Bidirectional Mamba with Explicit Missing Data Modeling for Cognitive Load Assessment from Eye-Gaze Tracking Data
- Optimizing Task Scheduling in Fog Computing with Deadline Awareness
- KAN: Kolmogorov-Arnold Networks
- Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation
- Exploring the Potential of Polynomial Basis Functions in Kolmogorov-Arnold Networks: A Comparative Study of Different Groups of Polynomials
- Kolmogorov-Arnold Convolutions: Design Principles and Empirical Studies
- FunKAN: Functional Kolmogorov-Arnold Network for Medical Image Enhancement and Segmentation
- Distilling the Knowledge in a Neural Network
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