Learning from Different Samples: A Source-free Framework for Semi-supervised Domain Adaptation

11 November 2024

Papers citing "Learning from Different Samples: A Source-free Framework for Semi-supervised Domain Adaptation"

21 / 21 papers shown

Title
Source-free Semantic Regularization Learning for Semi-supervised Domain Adaptation Xinyang Huang Chuang Zhu Ruiying Ren Shengjie Liu Tiejun Huang 181 0 0 03 Jan 2025
Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning Xinyang Huang Chuanglu Zhu Wenkai Chen 105 13 0 04 May 2023
Safe Self-Refinement for Transformer-based Domain Adaptation Tao Sun Cheng Lu Tianshuo Zhang Haibin Ling ViT 63 85 0 16 Apr 2022
TransMix: Attend to Mix for Vision Transformers Jieneng Chen Shuyang Sun Ju He Philip Torr Alan Yuille S. Bai ViT 86 109 0 18 Nov 2021
Understanding and Improving Early Stopping for Learning with Noisy Labels Ying-Long Bai Erkun Yang Bo Han Yanhua Yang Jiatong Li Yinian Mao Gang Niu Tongliang Liu NoLa 55 219 0 30 Jun 2021
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation Jichang Li Guanbin Li Yemin Shi Yizhou Yu 114 120 0 19 Apr 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 389 6,793 0 23 Dec 2020
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation Taekyung Kim Changick Kim 82 139 0 18 Jul 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels Sheng Liu Jonathan Niles-Weed N. Razavian C. Fernandez‐Granda NoLa 104 566 0 30 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 371 6,833 0 13 Jun 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 113 1,248 0 20 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 372 18,778 0 13 Feb 2020
How does Early Stopping Help Generalization against Label Noise? Hwanjun Song Minseok Kim Dongmin Park Jae-Gil Lee NoLa 70 76 0 19 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 207 12,085 0 13 Nov 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 241 3,503 0 30 Sep 2019
CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman Eric Tzeng Taesung Park Jun-Yan Zhu Phillip Isola Kate Saenko Alexei A. Efros Trevor Darrell 147 3,002 0 08 Nov 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 280 9,797 0 25 Oct 2017
Deep Hashing Network for Unsupervised Domain Adaptation Hemanth Venkateswara José Eusébio Shayok Chakraborty S. Panchanathan OOD 147 2,047 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 380 9,511 0 28 May 2015
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 233 6,030 0 26 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014