Rethinking VLMs and LLMs for image classification.

Saved in:
Bibliographic Details
Title: Rethinking VLMs and LLMs for image classification.
Authors: Cooper A; Fujitsu Research of America, Santa Clara, CA, USA., Kato K; Fujitsu Limited, Kawasaki, Japan. kato.keizo@jp.fujitsu.com., Shih CH; Fujitsu Research of America, Santa Clara, CA, USA.; University of Illinois at Urbana-Champaign, Urbana, IL, USA., Yamane H; Fujitsu Limited, Kawasaki, Japan., Vinken K; Fujitsu Research of America, Santa Clara, CA, USA., Takemoto K; Fujitsu Limited, Kawasaki, Japan., Sunagawa T; Fujitsu Limited, Kawasaki, Japan., Yeh HW; Fujitsu Limited, Kawasaki, Japan., Yamanaka J; Fujitsu Research of America, Santa Clara, CA, USA., Mason I; Fujitsu Research of America, Santa Clara, CA, USA., Boix X; Fujitsu Research of America, Santa Clara, CA, USA.
Source: Scientific reports [Sci Rep] 2025 Jun 04; Vol. 15 (1), pp. 19692. Date of Electronic Publication: 2025 Jun 04.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:2045-2322
DOI:10.1038/s41598-025-04384-8