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Reliability Scores from Saliency Map Clusters for Improved Image-based
  Harvest-Readiness Prediction in Cauliflower

Reliability Scores from Saliency Map Clusters for Improved Image-based Harvest-Readiness Prediction in Cauliflower

IEEE Geoscience and Remote Sensing Letters (GRSL), 2023
24 May 2023
Jana Kierdorf
R. Roscher
ArXiv (abs)PDFHTML

Papers citing "Reliability Scores from Saliency Map Clusters for Improved Image-based Harvest-Readiness Prediction in Cauliflower"

4 / 4 papers shown
What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI)
What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI)
Felix Kares
Timo Speith
Hanwei Zhang
Markus Langer
FAttXAI
399
6
0
23 Apr 2025
Better, Not Just More: Data-Centric Machine Learning for Earth Observation
Better, Not Just More: Data-Centric Machine Learning for Earth ObservationIEEE Geoscience and Remote Sensing Magazine (GRSM), 2023
R. Roscher
M. Rußwurm
Caroline Gevaert
Michael C. Kampffmeyer
J. A. dos Santos
...
Ronny Hansch
Stine Hansen
Keiller Nogueira
Jonathan Prexl
D. Tuia
457
23
0
08 Dec 2023
Data-Centric Digital Agriculture: A Perspective
Data-Centric Digital Agriculture: A Perspective
R. Roscher
Lukas Roth
C. Stachniss
Achim Walter
238
5
0
06 Dec 2023
"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
Sameer Singh
Carlos Guestrin
FAttFaML
2.5K
19,805
0
16 Feb 2016
1