SPOLRE: Semantic Preserving Object Layout Reconstruction for Image Captioning System Testing
SPOLRE: Semantic Preserving Object Layout Reconstruction for Image Captioning System Testing
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Author / Creator
Liu, Yi , Wang, Guanyu , Zheng, Xinyi , Deng, Gelei , Wang, Kailong , Liu, Yang and Wang, Haoyu
Publisher
Ithaca: Cornell University Library, arXiv.org
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Language
English
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Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
Image captioning (IC) systems, such as Microsoft Azure Cognitive Service, translate image content into descriptive language but can generate inaccuracies leading to misinterpretations. Advanced testing techniques like MetaIC and ROME aim to address these issues but face significant challenges. These methods require intensive manual labor for detail...
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Full title
SPOLRE: Semantic Preserving Object Layout Reconstruction for Image Captioning System Testing
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Record Identifier
TN_cdi_proquest_journals_3085746960
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3085746960
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E-ISSN
2331-8422
