Rethinking VLMs and LLMs for Image Classification

• Published in: arXiv.org
• Main Authors: Cooper, Avi, Kato, Keizo, Shih, Chia-Hsien, Yamane, Hiroaki, Vinken, Kasper, Takemoto, Kentaro, Sunagawa, Taro, Hao-Wei Yeh, Yamanaka, Jin, Mason, Ian, Boix, Xavier
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 03.10.2024
• Subjects: Accuracy; Cost effectiveness; Datasets; Image classification; Image enhancement; Large language models; Lightweight; Object recognition; Performance enhancement; Visual tasks; Weight reduction

Visual Language Models (VLMs) are now increasingly being merged with Large Language Models (LLMs) to enable new capabilities, particularly in terms of improved interactivity and open-ended responsiveness. While these are remarkable capabilities, the contribution of LLMs to enhancing the longstanding...