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InterVLS: Interactive Model Understanding and Improvement with Vision-Language Surrogates

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Huang, Jinbin, He, Wenbin, Gou, Liang, Ren, Liu, Bryan, Chris
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Artificial Intelligence Computer Vision and Pattern Recognition Human-Computer Interaction Machine Learning
Accesso online:	Acceder al recurso
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