Papers
68 papers found
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models
Masoud Monajatipoor, Liunian Harold Li, Mozhdeh Rouhsedaghat et al.
Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding Tasks
Xinsong Zhang, Yan Zeng, Jipeng Zhang et al.
Grounding Visual Illusions in Language: Do Vision-Language Models Perceive Illusions Like Humans?
Yichi Zhang, Jiayi Pan, Yuchen Zhou et al.
Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models
Gen Luo, Yiyi Zhou, Tianhe Ren et al.
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models
Xin Li, Sima Behpour, Thang Long Doan et al.
Parts of Speech–Grounded Subspaces in Vision-Language Models
James Oldfield, Christos Tzelepis, Yannis Panagakis et al.
Stable and low-precision training for large-scale vision-language models
Mitchell Wortsman, Tim Dettmers, Luke Zettlemoyer et al.
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph
Xin Li, Dongze Lian, Zhihe Lu et al.
Text Promptable Surgical Instrument Segmentation with Vision-Language Models
Zijian Zhou, Oluwatosin Alabi, Meng Wei et al.
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
Wenliang Dai, Junnan Li, DONGXU LI et al.
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models
Shuo Chen, Jindong Gu, Zhen Han et al.
On Evaluating Adversarial Robustness of Large Vision-Language Models
Yunqing Zhao, Tianyu Pang, Chao Du et al.
SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models
XIAOSONG MA, Jie ZHANG, Song Guo et al.
Multi-Resolution Sensing for Real-Time Control with Vision-Language Models
Saumya Saxena, Mohit Sharma, Oliver Kroemer
Open-World Object Manipulation using Pre-Trained Vision-Language Models
Austin Stone, Ted Xiao, Yao Lu et al.
Revisiting Classifier: Transferring Vision-Language Models for Video Recognition
Wenhao Wu, Zhun Sun, Wanli Ouyang
Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization
Beier Zhu, Yulei Niu, Saeil Lee et al.
World-to-Words: Grounded Open Vocabulary Acquisition through Fast Mapping in Vision-Language Models
Ziqiao Ma, Jiayi Pan, Joyce Chai
KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models
Zhiwei Jia, Pradyumna Narayana, Arjun Akula et al.
A Multi-dimensional study on Bias in Vision-Language models
Gabriele Ruggeri, Debora Nozza
EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning
Tiannan Wang, Wangchunshu Zhou, Yan Zeng et al.
Scalable Performance Analysis for Vision-Language Models
Santiago Castro, Oana Ignat, Rada Mihalcea
Bidirectional Cross-Modal Knowledge Exploration for Video Recognition With Pre-Trained Vision-Language Models
Wenhao Wu, Xiaohan Wang, Haipeng Luo et al.
Q: How To Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!
Zaid Khan, Vijay Kumar BG, Samuel Schulter et al.
Task Residual for Tuning Vision-Language Models
Tao Yu, Zhihe Lu, Xin Jin et al.