Deep Hashing Network for Unsupervised Domain Adaptation

22 June 2017

Papers citing "Deep Hashing Network for Unsupervised Domain Adaptation"

48 / 48 papers shown

Title
Cross-Domain Diffusion with Progressive Alignment for Efficient Adaptive Retrieval Junyu Luo Yusheng Zhao Xiao Luo Zhiping Xiao Wei Ju Li Shen Dacheng Tao Ming Zhang DiffM 95 1 0 20 May 2025
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Dongyoon Yang Jihu Lee Yongdai Kim 52 0 0 10 May 2025
Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation Xinru Meng Han Sun Qingbin Liu Ningzhong Liu Huiyu Zhou 106 0 0 23 Apr 2025
DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization Youngjun Song Youngsik Hwang Jonghun Lee Heechang Lee Dong-Young Lim AAML 79 0 0 30 Mar 2025
A Language Anchor-Guided Method for Robust Noisy Domain Generalization Zilin Dai Lehong Wang Fangzhou Lin Yidong Wang Zhigang Li Kazunori D Yamada Ziming Zhang Wang Lu 313 0 0 21 Mar 2025
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization Dongkwan Lee Kyomin Hwang Nojun Kwak 127 0 0 18 Mar 2025
Are We Truly Forgetting? A Critical Re-examination of Machine Unlearning Evaluation Protocols Yongwoo Kim Sungmin Cha Donghyun Kim MU ELM 50 2 0 10 Mar 2025
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization Xavier Thomas Deepti Ghadiyaram DiffM 124 0 0 09 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 162 0 0 09 Mar 2025
When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity Nesryne Mejri Enjie Ghorbel Anis Kacem Pavel Chernakov Niki Maria Foteinopoulou Djamila Aouada 86 0 0 28 Feb 2025
Gradient-Guided Annealing for Domain Generalization Aristotelis Ballas Christos Diou OOD 427 1 0 27 Feb 2025
Stein Discrepancy for Unsupervised Domain Adaptation Anneke von Seeger Dongmian Zou Gilad Lerman 131 0 0 24 Feb 2025
Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification Ahmad Chaddad Yihang Wu Yuchen Jiang Ahmed Bouridane Christian Desrosiers 145 2 0 15 Feb 2025
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts Sameer Ambekar Zehao Xiao Xiantong Zhen Cees G. M. Snoek OOD 110 0 0 15 Feb 2025
Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation Lingkun Luo Shiqiang Hu Liming Chen 111 0 0 10 Feb 2025
FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment Sunny Gupta Vinay Sutar Varunav Singh Amit Sethi 74 0 0 28 Jan 2025
BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization Xiusheng Xu Lei Qi Jingyang Zhou Xin Geng TTA 123 0 0 03 Jan 2025
Source-free Semantic Regularization Learning for Semi-supervised Domain Adaptation Xinyang Huang Chuang Zhu Ruiying Ren Shengjie Liu Tiejun Huang 72 0 0 03 Jan 2025
Adaptive Hardness-driven Augmentation and Alignment Strategies for Multi-Source Domain Adaptations Yang Yuxiang Zeng Xinyi Zeng Pinxian Zu Chen Yan Binyu Zhou Jiliu Wang Yan 76 0 0 02 Jan 2025
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes Aodi Li Liansheng Zhuang Xiao Long Minghong Yao Shafei Wang 392 0 0 18 Dec 2024
Meta Curvature-Aware Minimization for Domain Generalization Zhaoyu Chen Yiwen Ye Feilong Tang Yongsheng Pan Yong-quan Xia BDL 332 1 0 16 Dec 2024
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation Peihua Deng Jiehua Zhang Xichun Sheng C. Yan Yaoqi Sun Ying Fu Liang-Sheng Li CLL 122 1 0 25 Nov 2024
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation M-U Jang Hye Won Chung TTA 399 0 0 20 Nov 2024
Deep Transfer Learning: Model Framework and Error Analysis Yuling Jiao Huazhen Lin Yuchen Luo Jerry Zhijian Yang 65 1 0 12 Oct 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning Da-Wei Zhou Zi-Wen Cai Han-Jia Ye Lijun Zhang De-Chuan Zhan CLL AI4CE 126 2 0 01 Oct 2024
Partial Distribution Matching via Partial Wasserstein Adversarial Networks Zi-Ming Wang Nan Xue Ling Lei Rebecka Jörnsten Gui-Song Xia OOD 84 0 0 16 Sep 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations Guogang Zhu Xuefeng Liu Jianwei Niu Shaojie Tang Xinghao Wu Jiayuan Zhang AI4CE 144 1 0 25 Jul 2024
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities Yanis Lalou Théo Gnassounou Antoine Collas Antoine de Mathelin Oleksii Kachaiev Ambroise Odonnat Alexandre Gramfort Thomas Moreau Rémi Flamary 144 0 0 16 Jul 2024
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts Samar Khanna Medhanie Irgau David B. Lobell Stefano Ermon VLM 70 4 0 16 Jun 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment Hoang Phan Lam C. Tran Quyen Tran Trung Le 70 0 0 13 Jun 2024
Proxy Denoising for Source-Free Domain Adaptation Song Tang Wenxin Su Mao Ye Jianwei Zhang Xiatian Zhu Xiatian Zhu 119 1 0 03 Jun 2024
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients Farhad Pourpanah Mahdiyar Molahasani Milad Soltany Michael A. Greenspan Ali Etemad FedML OOD 276 2 0 25 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models Changwen Zheng Siyu Zhao Xingyu Zhang Jiangmeng Li Changwen Zheng Jingyao Wang CML BDL VLM 58 0 0 24 May 2024
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models Yongxin Guo Zhenglin Cheng Xiaoying Tang Tao R. Lin Tao Lin MoE 83 8 0 23 May 2024
Optimal Transport for Domain Adaptation through Gaussian Mixture Models Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OT 83 1 0 18 Mar 2024
Fine-tuning with Very Large Dropout Jianyu Zhang Léon Bottou 71 1 0 01 Mar 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift Renchunzi Xie Ambroise Odonnat Vasilii Feofanov I. Redko Jianfeng Zhang Bo An UQCV 108 1 0 17 Jan 2024
Diverse Target and Contribution Scheduling for Domain Generalization Shaocong Long Qianyu Zhou Soham Dan Lizhuang Ma Yuan Luo 93 8 0 28 Sep 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration Hiroki Naganuma Ryuichiro Hataya Kotaro Yoshida Ioannis Mitliagkas OODD 137 3 0 17 Jul 2023
If At First You Don't Succeed: Test Time Re-ranking for Zero-shot, Cross-domain Retrieval Finlay G. C. Hudson W. Smith ViT 74 1 0 30 Mar 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 81 13 0 15 Mar 2023
Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain Lianyu Wang Meng Wang Daoqiang Zhang Huazhu Fu 44 2 0 05 Sep 2022
Learning to Hash with Binary Deep Neural Network Thanh-Toan Do Anh-Dzung Doan Ngai-Man Cheung MQ 63 177 0 18 Jul 2016
Simultaneous Deep Transfer Across Domains and Tasks Eric Tzeng Judy Hoffman Trevor Darrell Kate Saenko OOD 56 1,367 0 08 Oct 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 343 9,418 0 28 May 2015
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 182 5,163 0 10 Feb 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 123 8,309 0 06 Nov 2014
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 152 12,384 0 24 Jun 2012