Universal Domain Adaptation from Foundation Models: A Baseline Study

18 May 2023

Papers citing "Universal Domain Adaptation from Foundation Models: A Baseline Study"

9 / 9 papers shown

Title
Cross-domain Open-world Discovery Shuo Wen Maria Brbic OOD 52 3 0 17 Jun 2024
Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-Training Wenyu Zhang Li Shen Chuan-Sheng Foo VLM TTA 42 4 0 05 May 2024
Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias Wenyu Zhang Qingmu Liu Felix Ong Wei Cong Mohamed Ragab Chuan-Sheng Foo 32 0 0 17 Mar 2024
MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation Yanzuo Lu Meng Shen Andy J. Ma Xiaohua Xie Jian-Huang Lai OOD 21 8 0 13 Dec 2023
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
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 169 405 0 12 Oct 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 339 2,267 0 02 Sep 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 301 3,700 0 11 Feb 2021
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 177 9,332 0 28 May 2015