How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?

9 June 2023

Papers citing "How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?"

9 / 9 papers shown

Title
Testing the limits of fine-tuning to improve reasoning in vision language models Luca M. Schulze Buschoff Konstantinos Voudouris Elif Akata Matthias Bethge Joshua B. Tenenbaum Eric Schulz LRM VLM Presented at ResearchTrend Connect \| VLM on 14 Mar 2025 126 0 1 24 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 47 1 0 05 Feb 2025
Process Reward Model with Q-Value Rankings W. Li Yixuan Li LRM 62 15 0 15 Oct 2024
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 72 3 0 18 Sep 2024
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models Manli Shu Weili Nie De-An Huang Zhiding Yu Tom Goldstein Anima Anandkumar Chaowei Xiao VLM VPVLM 186 290 0 15 Sep 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 193 881 0 21 Oct 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 350 2,286 0 02 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,872 0 18 Apr 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 340 3,726 0 11 Feb 2021