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http://hdl.handle.net/1942/40333
Title: | Evaluating Feature Attribution Methods in the Image Domain: High-Dimensional Datasets | Data Creator - person: | Gevaert, Arne ROUSSEAU, Axel-Jan De Bie, Tijl BECKER, Thijs Saeys, Yvan VALKENBORG, Dirk |
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: | Here you can find the versions of the Places-365 and Caltech-256 datasets 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.6221585 | Link to publication/dataset: | https://zenodo.org/record/6221585 | Source: | Zenodo. 10.5281/zenodo.6221585 https://zenodo.org/record/6221586 | Publications related to the dataset: | 10.48550/arXiv.2202.12270 10.1007/s10994-024-06550-x |
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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