A Literature Survey about Why Is Prompt Tuning for Vision ...

Why Is Prompt Tuning for Vision-Language Models Robust to Noisy ...

We find that such a prompt tuning process is highly robust to label noises. This intrigues us to study the key reasons contributing to the ...

Why Is Prompt Tuning for Vision-Language Models Robust to Noisy ...

A vision-language model can be adapted to a new classification task through few-shot prompt tuning. We find that such a prompt tuning process is highly robust ...

A Systematic Survey of Prompt Engineering on Vision-Language ...

Also, the hints could be continuous vector representations (soft prompts). The related work has been referred to as Prompt-Tuning [6], which ...

Revisiting the Power of Prompt for Visual Tuning

Visual prompt tuning (VPT) is a promising solution incorporating learnable prompt tokens to customize pre-trained models for downstream tasks.

Revisiting the Power of Prompt for Visual Tuning - OpenReview

Visual prompt tuning (VPT) is a promising solution incorporating learnable prompt tokens to customize pre-trained models for downstream ...

A survey of efficient fine-tuning methods for Vision-Language Models

It also effectively reduces the risk of overfitting when fine-tuning large models. Fig. 2 shows the Adapter in vision-language. Prompt fine-tunes VLPM by ...

ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models

We aim for our work to serve as a foundational reference for the application of attributes in transfer learning, providing a strong baseline for the research ...

Prompt learning in computer vision: a survey∗

Finally, we provide some promising research directions concerning prompt learning. Key words: Prompt learning; Visual prompt tuning (VPT); Image generation; ...

[PDF] Visual Prompt Tuning - Semantic Scholar

This paper introduces Visual Prompt Tuning (VPT) as an efficient and effective alternative to full fine-tuning for large-scale Transformer models in vision ...

A survey of efficient fine-tuning methods for Vision-Language Models

Highlights · Summarizing Vision-Language Models research evolution. · Detailing two key Fine-tuning methods: Prompt and Adapter. · Innovative use patterns of ...

LION: Implicit Vision Prompt Tuning | Proceedings of the AAAI ...

In this paper, we propose a light-weight prompt framework named impLicit vIsion prOmpt tuNing (LION), which is motivated by deep implicit models with stable ...

Visual Tuning | ACM Computing Surveys

Inspired by prompt techniques in NLP, prompt tuning is also introduced into the computer vision field. Specifically, vision prompt tuning could be divided into ...

Visual Prompt Tuning | Papers With Code

Visual Prompt Tuning(VPT) only introduces a small amount of task-specific learnable parameters into the input space while freezing the entire pre-trained ...

Facing the Elephant in the Room: Visual Prompt Tuning or Full...

As the scale of vision models continues to grow, the emergence of Visual Prompt Tuning (VPT) as a parameter-efficient transfer learning technique has gained ...

LION: Implicit Vision Prompt Tuning

To design a prompt framework that combines both a lightweight architecture and strong representation capability, we conducted a comprehensive study and analysis ...

Understanding and Mitigating Overfitting in Prompt Tuning for Vision ...

Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models ... To read the full-text of this research, you can request a ...

Neural Collapse Anchored Prompt Tuning for Generalizable Vision ...

In this paper, we make the first attempt to use NC for examining the representations in V-L models via prompt tuning. It is found that NC ...

Improving Visual Prompt Tuning for Self-supervised Vision ...

Visual Prompt Tuning (VPT) is an effective tuning method for adapting pretrained Vision Transformers (ViTs) to downstream tasks.

JindongGu/Awesome-Prompting-on-Vision-Language-Model - GitHub

This repo aims to provide a comprehensive survey of cutting-edge research in prompt engineering on three types of vision-language models (VLMs).

Distribution-Aware Prompt Tuning for Vision-Language Models

Prompting is an emerging research topic due to several advantages over fine-tuning, which is a conventional ap- proach to utilize pre-trained deep-learning ...