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KAN You See It? KANs and Sentinel for Effective and Explainable Crop
  Field Segmentation

KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation

13 August 2024
Daniele Rege Cambrin
Eleonora Poeta
Eliana Pastor
Tania Cerquitelli
Elena Baralis
Paolo Garza
ArXivPDFHTML

Papers citing "KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation"

3 / 3 papers shown
Title
Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation
Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation
Daniele Rege Cambrin
Luca Colomba
Paolo Garza
44
0
0
28 Apr 2025
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,672
0
28 Feb 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,445
0
18 May 2015
1