Key Design Choices for Double-Transfer in Source-Free Unsupervised
Domain Adaptation

Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation

10 February 2023

Andrea Maracani

Raffaello Camoriano

Elisa Maiettini

Lorenzo Rosasco

Lorenzo Natale

Papers citing "Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation"

9 / 9 papers shown

Title
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data Jiaxing Huang Dayan Guan Aoran Xiao Shijian Lu 126 210 0 07 Oct 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
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 154 676 0 22 Apr 2021
Domain Impression: A Source Data Free Domain Adaptation Method V. Kurmi Venkatesh Subramanian Vinay P. Namboodiri TTA 130 150 0 17 Feb 2021
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer Jian Liang Dapeng Hu Yunbo Wang R. He Jiashi Feng 128 249 0 14 Dec 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 229 3,029 0 09 Mar 2020
Impact of ImageNet Model Selection on Domain Adaptation Youshan Zhang Brian D. Davison FAtt OOD VLM 25 31 0 06 Feb 2020
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 149 9,300 0 28 May 2015
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 174 786 0 19 Feb 2009