DTL: Disentangled Transfer Learning for Visual Recognition

13 December 2023

Papers citing "DTL: Disentangled Transfer Learning for Visual Recognition"

6 / 6 papers shown

Title
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies L. Wang Sheng Chen Linnan Jiang Shu Pan Runze Cai Sen Yang Fei Yang 49 3 0 24 Oct 2024
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 73 75 0 03 Feb 2024
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition Shoufa Chen Chongjian Ge Zhan Tong Jiangliu Wang Yibing Song Jue Wang Ping Luo 146 638 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
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,785 0 29 Apr 2021
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 206 14,368 0 07 Oct 2016