Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation

3 April 2023

Papers citing "Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation"

7 / 7 papers shown

Title
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement Gaurav Patel Christopher Sandino Behrooz Mahasseni Ellen L. Zippi Erdrin Azemi Ali Moin Juri Minxha TTA AI4TS 64 3 0 03 Oct 2024
Source-Free Unsupervised Domain Adaptation: A Survey Yuqi Fang P. Yap W. Lin Hongtu Zhu Mingxia Liu 157 91 0 31 Dec 2022
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift Wenyu Zhang Li Shen Wanyue Zhang Chuan-Sheng Foo TTA 64 18 0 30 May 2022
Domain Impression: A Source Data Free Domain Adaptation Method V. Kurmi Venkatesh Subramanian Vinay P. Namboodiri TTA 151 150 0 17 Feb 2021
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer Jian Liang Dapeng Hu Yunbo Wang Ran He Jiashi Feng 151 251 0 14 Dec 2020
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification Djebril Mekhazni Amran Bhuiyan G. Ekladious Eric Granger OOD 86 93 0 27 Jul 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 189 9,385 0 28 May 2015