Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation

1 September 2024

Papers citing "Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation"

20 / 20 papers shown

Title
Model Adaptation: Unsupervised Domain Adaptation without Source Data Rui Li Qianfen Jiao Wenming Cao Hau-San Wong Si Wu OOD 261 493 0 26 Feb 2025
When Source-Free Domain Adaptation Meets Learning with Noisy Labels L. Yi Gezheng Xu Pengcheng Xu Jiaqi Li Ruizhi Pu Charles Ling A. McLeod Boyu Wang 88 41 0 31 Jan 2023
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation Shiqi Yang Yaxing Wang Kai Wang Shangling Jui Joost van de Weijer 73 141 0 09 May 2022
A Broad Study of Pre-training for Domain Generalization and Adaptation Donghyun Kim Kaihong Wang Stan Sclaroff Kate Saenko OOD AI4CE 75 81 0 22 Mar 2022
Generalized Source-free Domain Adaptation Shiqi Yang Yaxing Wang Joost van de Weijer Luis Herranz Shangling Jui TTA 82 258 0 03 Aug 2021
Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation Shuhao Cui Shuhui Wang Junbao Zhuo Liang Li Qingming Huang Qi Tian 101 24 0 13 Jul 2021
Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation Xin Luo Wei Chen Yusong Tan Chen Li Yulin He Xiaogang Jia TTA 42 12 0 23 Jun 2021
Transformer-Based Source-Free Domain Adaptation Guanglei Yang Hao Tang Zhun Zhong M. Ding Ling Shao N. Sebe Elisa Ricci ViT 66 42 0 28 May 2021
Graph Consistency Based Mean-Teaching for Unsupervised Domain Adaptive Person Re-Identification Xiaobing Liu Shiliang Zhang 71 29 0 11 May 2021
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels Erik Englesson Hossein Azizpour NoLa 70 107 0 10 May 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 670 41,430 0 22 Oct 2020
Source Free Domain Adaptation with Image Translation Yunzhong Hou Liang Zheng 43 36 0 17 Aug 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 116 1,250 0 20 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 541 42,591 0 03 Dec 2019
NLNL: Negative Learning for Noisy Labels Youngdong Kim Junho Yim Juseung Yun Junmo Kim NoLa 52 277 0 19 Aug 2019
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 207 1,953 0 06 Jun 2019
Contrastive Adaptation Network for Unsupervised Domain Adaptation Guoliang Kang Lu Jiang Yi Yang Alexander G. Hauptmann 112 839 0 04 Jan 2019
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 289 9,803 0 25 Oct 2017
Deep Hashing Network for Unsupervised Domain Adaptation Hemanth Venkateswara José Eusébio Shayok Chakraborty S. Panchanathan OOD 147 2,057 0 22 Jun 2017
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 390 9,515 0 28 May 2015