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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

Tania Cerquitelli

Elena Baralis

ArXiv (abs)PDF HTML Github

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

4 / 4 papers shown

UKANFormer: Noise-Robust Semantic Segmentation for Coral Reef Mapping via a Kolmogorov-Arnold Network-Transformer Hybrid

UKANFormer: Noise-Robust Semantic Segmentation for Coral Reef Mapping via a Kolmogorov-Arnold Network-Transformer Hybrid

232

1

0

19 Oct 2025

HydroChronos: Forecasting Decades of Surface Water Change

HydroChronos: Forecasting Decades of Surface Water Change

Daniele Rege Cambrin

Tania Cerquitelli

202

0

0

17 Jun 2025

A Unified Approach to Interpreting Model Predictions

A Unified Approach to Interpreting Model Predictions

Scott M. Lundberg

5.2K

32,979

0

22 May 2017

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

Marco Tulio Ribeiro

Carlos Guestrin

2.7K

21,359

0

16 Feb 2016

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