Learning Transferable Features with Deep Adaptation Networks

10 February 2015

Papers citing "Learning Transferable Features with Deep Adaptation Networks"

50 / 834 papers shown

Title
Source-Free Domain Adaptation for Image Segmentation M. Bateson H. Kervadec Jose Dolz H. Lombaert Ismail Ben Ayed OOD MedIm 134 65 0 06 Aug 2021
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding Sheng Huang Wanqi Yang Lei Wang Luping Zhou Ming Yang 35 8 0 06 Aug 2021
IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID Yongxing Dai Jun Liu Yifan Sun Zekun Tong Chi Zhang Ling-yu Duan 41 116 0 05 Aug 2021
On the Robustness of Domain Adaption to Adversarial Attacks Liyuan Zhang Yuhang Zhou Lei Zhang OOD AAML 10 2 0 04 Aug 2021
Generalized Source-free Domain Adaptation Shiqi Yang Yaxing Wang Joost van de Weijer Luis Herranz Shangling Jui TTA 38 252 0 03 Aug 2021
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data Qi Zhu Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 30 106 0 02 Aug 2021
Multilevel Knowledge Transfer for Cross-Domain Object Detection Botos Csaba Xiaojuan Qi Arslan Chaudhry P. Dokania Philip Torr OOD 32 8 0 02 Aug 2021
Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain Adaptation Yiju Yang Taejoon Kim Guanghui Wang 52 2 0 02 Aug 2021
Conditional Bures Metric for Domain Adaptation You-Wei Luo Chuan-Xian Ren 29 49 0 31 Jul 2021
Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation Duo Peng Yinjie Lei Wen Li Pingping Zhang Yulan Guo 32 60 0 30 Jul 2021
Cross-Camera Feature Prediction for Intra-Camera Supervised Person Re-identification across Distant Scenes Wenhang Ge Chunyan Pan Ancong Wu Hongwei Zheng Weishi Zheng 27 26 0 29 Jul 2021
Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate Xiaofeng Liu Zhenhua Guo Site Li Fangxu Xing J. You C.-C. Jay Kuo Xiaofeng Liu Jonghye Woo 31 74 0 28 Jul 2021
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation Song Tang Yan Yang Zhiyuan Ma Norman Hendrich Fanyu Zeng S. Ge Changshui Zhang Jianwei Zhang OOD 33 13 0 27 Jul 2021
AUGCO: Augmentation Consistency-guided Self-training for Source-free Domain Adaptive Semantic Segmentation Viraj Prabhu Shivam Khare Deeksha Kartik Judy Hoffman TTA 31 21 0 21 Jul 2021
Preventing dataset shift from breaking machine-learning biomarkers Jéroome Dockes Gaël Varoquaux J B Poline OOD 30 64 0 21 Jul 2021
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation Li Gao Jing Zhang Lefei Zhang Dacheng Tao 32 85 0 20 Jul 2021
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets Muhammed Muzammul Xi Li ObjD 21 11 0 16 Jul 2021
MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition Hao Chen Ming Jin Zhunan Li Cunhang Fan Jinpeng Li Huiguang He 45 126 0 16 Jul 2021
Zero-Round Active Learning Si-An Chen Tianhao Wang R. Jia 67 4 0 14 Jul 2021
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration Cian Eastwood I. Mason Christopher K. I. Williams Bernhard Schölkopf TTA 30 51 0 12 Jul 2021
Aligning Correlation Information for Domain Adaptation in Action Recognition Yuecong Xu Jianfei Yang Haozhi Cao K. Mao Jianxiong Yin Simon See 24 38 0 11 Jul 2021
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning Akshay Mehra B. Kailkhura Pin-Yu Chen Jihun Hamm AAML 30 22 0 08 Jul 2021
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer Xiaodong Wang Junbao Zhuo Shuhao Cui Shuhui Wang 19 6 0 07 Jul 2021
Featurized Density Ratio Estimation Kristy Choi Madeline Liao Stefano Ermon TPM 22 22 0 05 Jul 2021
Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation S. Bucci Francesco Cappio Borlino Barbara Caputo Tatiana Tommasi VLM 35 14 0 05 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 46 65 0 02 Jul 2021
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation Ankit Singh 34 108 0 30 Jun 2021
Zoo-Tuning: Adaptive Transfer from a Zoo of Models Yang Shu Zhi Kou Zhangjie Cao Jianmin Wang Mingsheng Long 29 44 0 29 Jun 2021
Multi-Domain Active Learning: Literature Review and Comparative Study Ruidan He Shengcai Liu Shan He Ke Tang OOD 24 14 0 25 Jun 2021
Active Learning for Deep Neural Networks on Edge Devices Yuya Senzaki Christian Hamelain 34 7 0 21 Jun 2021
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments Yining Chen Elan Rosenfeld Mark Sellke Tengyu Ma Andrej Risteski OOD 36 33 0 18 Jun 2021
Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation Fuping Wu Xiahai Zhuang OOD DRL 33 72 0 16 Jun 2021
Delving Deep into the Generalization of Vision Transformers under Distribution Shifts Chongzhi Zhang Mingyuan Zhang Shanghang Zhang Daisheng Jin Qiang-feng Zhou Zhongang Cai Haiyu Zhao Xianglong Liu Ziwei Liu 21 103 0 14 Jun 2021
Attention-based Domain Adaptation for Single Stage Detectors Vidit Vidit Mathieu Salzmann ObjD 35 13 0 14 Jun 2021
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization Lixu Wang Shichao Xu Ruiqi Xu Tianlin Li Qi Zhu AAML 19 45 0 13 Jun 2021
Online Continual Adaptation with Active Self-Training Shiji Zhou Han Zhao Shanghang Zhang Lianzhe Wang Heng Chang Zhi Wang Wenwu Zhu CLL 43 10 0 11 Jun 2021
Invariant Information Bottleneck for Domain Generalization Bo Li Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 37 106 0 11 Jun 2021
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks Jiaxing Huang Dayan Guan Aoran Xiao Shijian Lu Ling Shao CML 40 128 0 05 Jun 2021
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking Jiaxing Huang Dayan Guan Aoran Xiao Shijian Lu AAML 43 76 0 05 Jun 2021
Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners Yabin Zhang Haojian Zhang Bin Deng Shuai Li Kui Jia Lei Zhang 26 25 0 01 Jun 2021
ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale Yuanming Li Huaizheng Zhang Shanshan Jiang Fan Yang Yonggang Wen Yong Luo 21 2 0 18 May 2021
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation Suman Saha Anton Obukhov D. Paudel Menelaos Kanakis Yuhua Chen Stamatios Georgoulis Luc Van Gool OOD 39 55 0 17 May 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty Zehao Xiao Jiayi Shen Xiantong Zhen Ling Shao Cees G. M. Snoek BDL UQCV OOD 29 39 0 09 May 2021
Tackling Imbalanced Data in Cybersecurity with Transfer Learning: A Case with ROP Payload Detection Haizhou Wang Peng Liu 11 11 0 06 May 2021
Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation Youshan Zhang Brian D. Davison 44 15 0 05 May 2021
AI-enabled Efficient and Safe Food Supply Chain I. Kollia J. Stevenson Stefanos D. Kollias 19 30 0 01 May 2021
Efficient Pre-trained Features and Recurrent Pseudo-Labeling in Unsupervised Domain Adaptation Youshan Zhang Brian D. Davison VLM 45 6 0 27 Apr 2021
Unsupervised Multi-Source Domain Adaptation for Person Re-Identification Zechen Bai Zhigang Wang Jian Wang Diangang Hu Errui Ding 105 78 0 27 Apr 2021
Visualizing Adapted Knowledge in Domain Transfer Yunzhong Hou Liang Zheng 126 54 0 20 Apr 2021
Post-Hoc Domain Adaptation via Guided Data Homogenization Kurt Willis Luis Oala 21 4 0 08 Apr 2021