Cycle Self-Training for Domain Adaptation

5 March 2021

Papers citing "Cycle Self-Training for Domain Adaptation"

50 / 109 papers shown

Title
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation Menglong Lu Zhen Huang Yunxiang Zhao Zhiliang Tian Yang Liu Dongsheng Li 26 6 0 05 Aug 2023
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification Menglong Lu Zhen Huang Zhiliang Tian Yunxiang Zhao Xuanyu Fei Dongsheng Li OOD 26 5 0 04 Aug 2023
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction Yu Wu Dimitris Spathis Hong Jia I. Perez-Pozuelo Tomas I. Gonzales S. Brage N. Wareham Cecilia Mascolo 13 4 0 31 Jul 2023
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling Sameer Ambekar Zehao Xiao Jiayi Shen Xiantong Zhen Cees G. M. Snoek BDL OOD 30 1 0 08 Jul 2023
Weakly supervised information extraction from inscrutable handwritten document images S. Paul Gagan Madan Akankshya Mishra N. Hegde Pradeep Kumar Gaurav Aggarwal MedIm 19 3 0 12 Jun 2023
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! Zaid Khan B. Vijaykumar S. Schulter Xiang Yu Y. Fu Manmohan Chandraker VLM MLLM 24 17 0 06 Jun 2023
Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction Robert A. Marsden Mario Döbler Bin Yang TTA 22 30 0 01 Jun 2023
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels? Jianfei Yang Hanjie Qian Yuecong Xu Kai Wang Lihua Xie 28 9 0 30 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
STFAR: Improving Object Detection Robustness at Test-Time by Self-Training with Feature Alignment Regularization Yijin Chen Xun Xu Yongyi Su K. Jia TTA OOD ObjD 24 6 0 31 Mar 2023
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation Nazmul Karim Niluthpol Chowdhury Mithun Abhinav Rajvanshi Han-Pang Chiu S. Samarasekera Nazanin Rahnavard TTA 21 56 0 30 Mar 2023
Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection Hui Lv Zhongqi Yue Qianru Sun Bin Luo Zhen Cui Hanwang Zhang WSOD 24 64 0 22 Mar 2023
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training Yongyi Su Xun Xu Tianrui Li K. Jia OOD TTA 34 14 0 20 Mar 2023
Approximately Bayes-Optimal Pseudo Label Selection Julian Rodemann Jann Goschenhofer Emilio Dorigatti T. Nagler Thomas Augustin 19 8 0 17 Feb 2023
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation P. Xu Boyu Wang Charles X. Ling 32 6 0 03 Feb 2023
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities Zhixuan Chu Jia-Bin Huang Ruopeng Li Wei Chu Sheng R. Li CML OOD 25 8 0 02 Feb 2023
When Source-Free Domain Adaptation Meets Learning with Noisy Labels L. Yi Gezheng Xu Pengcheng Xu Jiaqi Li Ruizhi Pu Charles X. Ling A. McLeod Boyu Wang 21 39 0 31 Jan 2023
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation Hao Yan Yuhong Guo 8 4 0 15 Dec 2022
Self-training via Metric Learning for Source-Free Domain Adaptation of Semantic Segmentation Ibrahim Batuhan Akkaya U. Halici TTA 16 2 0 08 Dec 2022
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection Chen Zhang Guorong Li Yuankai Qi Shuhui Wang Laiyun Qing Qingming Huang Ming-Hsuan Yang 35 53 0 08 Dec 2022
Semantic-aware Message Broadcasting for Efficient Unsupervised Domain Adaptation Xin Li Cuiling Lan Guoqiang Wei Zhibo Chen 27 4 0 06 Dec 2022
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation Mario Döbler Robert A. Marsden Bin Yang OOD TTA 19 81 0 23 Nov 2022
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning Ziyi Zhang Weikai Chen Hui Cheng Z. Li Siyuan Li Liang Lin Guanbin Li 22 65 0 12 Nov 2022
On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey Xu Guo Han Yu LM&MA VLM 28 29 0 06 Nov 2022
Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference Mobashir Sadat Cornelia Caragea 13 2 0 05 Nov 2022
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation Jun-Kun Wang Andre Wibisono 32 7 0 18 Oct 2022
Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation Haoran Chen Xintong Han Zuxuan Wu Yu-Gang Jiang 91 25 0 30 Sep 2022
Learning from Future: A Novel Self-Training Framework for Semantic Segmentation Ye Du Yujun Shen Haochen Wang Jingjing Fei Wei Li Liwei Wu Rui Zhao Zehua Fu Qingjie Liu 42 29 0 15 Sep 2022
Local Context-Aware Active Domain Adaptation Tao Sun Cheng Lu Haibin Ling 25 8 0 26 Aug 2022
Domain Adaptation with Adversarial Training on Penultimate Activations Tao Sun Cheng Lu Haibin Ling 16 15 0 26 Aug 2022
Test-Time Adaptation via Conjugate Pseudo-labels Sachin Goyal Mingjie Sun Aditi Raghunathan Zico Kolter OOD 20 95 0 20 Jul 2022
Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration Bohua Peng Mobarakol Islam Mei Tu UQCV 11 9 0 18 Jul 2022
Dual-Correction Adaptation Network for Noisy Knowledge Transfer Yunyun Wang Weiwen Zheng Songcan Chen 17 1 0 10 Jul 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization Bang An Zora Che Mucong Ding Furong Huang 14 31 0 26 Jun 2022
Gradual Domain Adaptation via Normalizing Flows Shogo Sagawa H. Hino CLL OOD 22 9 0 23 Jun 2022
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation Joonho Jang Byeonghu Na DongHyeok Shin Mingi Ji Kyungwoo Song Il-Chul Moon 19 34 0 15 Jun 2022
Test-Time Adaptation for Visual Document Understanding Sayna Ebrahimi Sercan Ö. Arik Tomas Pfister OOD 33 6 0 15 Jun 2022
On the Permanence of Backdoors in Evolving Models Huiying Li A. Bhagoji Yuxin Chen Haitao Zheng Ben Y. Zhao AAML 23 2 0 08 Jun 2022
OneRing: A Simple Method for Source-free Open-partial Domain Adaptation Shiqi Yang Yaxing Wang Kai Wang Shangling Jui Joost van de Weijer 25 0 0 07 Jun 2022
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling Jian Hu Haowen Zhong Junchi Yan S. Gong Guile Wu Fei Yang 17 11 0 02 Jun 2022
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation Yuhe Ding Lijun Sheng Jian Liang A. Zheng R. He 45 47 0 29 May 2022
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors Jianfei Yang Xiangyu Peng K. Wang Zheng Hua Zhu Jiashi Feng Lihua Xie Yang You 26 27 0 28 May 2022
Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-Labeling Christopher Liao Theodoros Tsiligkaridis Brian Kulis VLM TTA OOD 21 3 0 26 May 2022
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation Shiqi Yang Yaxing Wang Kai Wang Shangling Jui Joost van de Weijer 24 131 0 09 May 2022
Multi-Domain Targeted Sentiment Analysis Orith Toledo-Ronen Matan Orbach Yoav Katz Noam Slonim 16 7 0 08 May 2022
COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training Hyungseob Shin Hyeongyu Kim Sewon Kim Yohan Jun Taejoon Eo D. Hwang OOD 24 27 0 30 Mar 2022
CycDA: Unsupervised Cycle Domain Adaptation from Image to Video Wei Lin Anna Kukleva Kunyang Sun Horst Possegger Hilde Kuehne Horst Bischof VGen 34 7 0 30 Mar 2022
Self-Training: A Survey Massih-Reza Amini Vasilii Feofanov Loïc Pauletto Lies Hadjadj Emilie Devijver Yury Maximov SSL 28 102 0 24 Feb 2022
It's All in the Head: Representation Knowledge Distillation through Classifier Sharing Emanuel Ben-Baruch M. Karklinsky Yossi Biton Avi Ben-Cohen Hussam Lawen Nadav Zamir 18 11 0 18 Jan 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 31 101 0 15 Jan 2022