Revisiting the Power of Prompt for Visual Tuning

Revisiting the Power of Prompt for Visual Tuning

4 February 2024

Dingwen Zhang

Papers citing "Revisiting the Power of Prompt for Visual Tuning"

9 / 9 papers shown

Title
Token Coordinated Prompt Attention is Needed for Visual Prompting Zichen Liu Xu Zou Gang Hua Jiahuan Zhou 39 0 0 05 May 2025
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba Masakazu Yoshimura Teruaki Hayashi Yota Maeda Mamba 100 2 0 06 Nov 2024
MePT: Multi-Representation Guided Prompt Tuning for Vision-Language Model Xinyang Wang Yi Yang Minfeng Zhu Kecheng Zheng Shi Liu Wei Chen VPVLM MLLM VLM 55 1 0 19 Aug 2024
A Region-Prompted Adapter Tuning for Visual Abductive Reasoning Hao Zhang Yeo Keat Ee Basura Fernando VLM 27 3 0 18 Mar 2023
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition Shoufa Chen Chongjian Ge Zhan Tong Jiangliu Wang Yibing Song Jue Wang Ping Luo 149 638 0 26 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 238 806 0 14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021
Fine-Grained Car Detection for Visual Census Estimation Timnit Gebru J. Krause Yilun Wang Duyun Chen Jia Deng Li Fei-Fei 67 116 0 07 Sep 2017