A new dataset pair and a tournament-style multiple-choice query strategy let a fine-tuned InstructBLIP model classify patent figures by type, projection, object, and USPC class, beating CNN baselines on type and USPC.
Educational Psychology Review 14(1), 5–26 (2002), http://www.jstor.org/stable/23363486
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Patent Figure Classification using Large Vision-language Models
A new dataset pair and a tournament-style multiple-choice query strategy let a fine-tuned InstructBLIP model classify patent figures by type, projection, object, and USPC class, beating CNN baselines on type and USPC.