Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/40331
Title: Evaluating Feature Attribution Methods in the Image Domain: Benchmark results and model parameters
Data Creator - person: Gevaert, Arne
ROUSSEAU, Axel-Jan 
BECKER, Thijs 
VALKENBORG, Dirk 
De Bie, Tijl
Saeys, Yvan
Data Creator - organization: Ghent University
Hasselt University
Data Curator - person: Gevaert, Arne
Data Curator - organization: Ghent University
Rights Holder - person: Gevaert, Arne
Rights Holder - organization: Ghent University
Publisher: Zenodo
Issue Date: 2022
Abstract: This dataset contains the experimental results, adversarial patches and model parameters used in the paper Evaluating Feature Attribution Methods in the Image Domain.
Research Discipline: Natural sciences > Information and computing sciences > Visual computing > Computer vision (01020902)
Keywords: Computer Vision;Pattern recognition;Machine Learning
DOI: 10.5281/zenodo.6205531
Link to publication/dataset: https://zenodo.org/record/6205531
Source: Zenodo. 10.5281/zenodo.6205531 https://zenodo.org/record/6205531
Publications related to the dataset: 10.48550/arXiv.2202.12270
License: Creative Commons Attribution 4.0 International (CC-BY-4.0)
Access Rights: Open Access
Version: 1.0
Category: DS
Type: Dataset
Appears in Collections:Datasets

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