Exploring Efficient Few-shot Adaptation for Vision Transformers

Exploring Efficient Few-shot Adaptation for Vision Transformers

6 January 2023

Yabiao Wang

Papers citing "Exploring Efficient Few-shot Adaptation for Vision Transformers"

9 / 9 papers shown

Title
Split Adaptation for Pre-trained Vision Transformers Lixu Wang Bingqi Shang Y. Li Payal Mohapatra Wei Dong Xiao-Xu Wang Qi Zhu ViT 43 0 0 01 Mar 2025
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey Yi Xin Jianjiang Yang Haodi Zhou Junlong Du Junlong Du Yue Fan Qing Li Qing Li Yuntao Du VLM 59 74 0 03 Feb 2024
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 32 86 0 16 Jul 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
TransTrack: Multiple Object Tracking with Transformer Pei Sun Jinkun Cao Yi-Xin Jiang Rufeng Zhang Enze Xie Zehuan Yuan Changhu Wang Ping Luo ViT VOT 241 555 0 31 Dec 2020
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 201 328 0 22 Jul 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 202 627 0 17 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017