VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis

Real‐world machine learning models require rigorous evaluation before deployment, especially in safety‐critical domains like autonomous driving and surveillance. The evaluation of machine learning models often focuses on data slices, which are subsets of the data that share a set of characteristics....

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Vydané v:	Computer graphics forum Ročník 44; číslo 3
Hlavní autori:	Yan, Xinyuan, Xuan, Xiwei, Ono, Jorge Piazentin, Guo, Jiajing, Mohanty, Vikram, Kumar, Shekar Arvind, Gou, Liang, Wang, Bei, Ren, Liu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Blackwell Publishing Ltd 01.06.2025
Predmet:	CCS Concepts Computer vision Computer vision tasks Computing methodologies → Model verification and validation Effectiveness Human‐centered computing → Visual analytics Hypotheses Interactive systems and tools Machine learning Metadata Object recognition Subgroups
ISSN:	0167-7055, 1467-8659
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