What Do You See? Enhancing Zero-Shot Image Classification with Multimodal Large Language Models

24 May 2024

Papers citing "What Do You See? Enhancing Zero-Shot Image Classification with Multimodal Large Language Models"

6 / 6 papers shown

Title
Zero-shot Model-based Reinforcement Learning using Large Language Models Abdelhakim Benechehab Youssef Attia El Hili Ambroise Odonnat Oussama Zekri Albert Thomas Giuseppe Paolo Maurizio Filippone I. Redko Balázs Kégl OffRL 62 1 0 17 Feb 2025
CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention Ziyu Guo Renrui Zhang Longtian Qiu Xianzheng Ma Xupeng Miao Xuming He Bin Cui VLM AAML 55 109 0 28 Sep 2022
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training Janghyeon Lee Jongsuk Kim Hyounguk Shon Bumsoo Kim Seung Wook Kim Honglak Lee Junmo Kim CLIP VLM 50 53 0 27 Sep 2022
What does a platypus look like? Generating customized prompts for zero-shot image classification Sarah M Pratt Ian Covert Rosanne Liu Ali Farhadi VLM 119 212 0 07 Sep 2022
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling Renrui Zhang Rongyao Fang Wei Zhang Peng Gao Kunchang Li Jifeng Dai Yu Qiao Hongsheng Li VLM 184 384 0 06 Nov 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 3,683 0 11 Feb 2021