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Dynamic Instance Domain Adaptation

9 March 2022

Papers citing "Dynamic Instance Domain Adaptation"

48 / 48 papers shown

Title
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 113 0 0 02 Jan 2025
Diverse Target and Contribution Scheduling for Domain Generalization Shaocong Long Qianyu Zhou Soham Dan Lizhuang Ma Yuan Luo 135 8 0 28 Sep 2023
Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain Chuan-Xian Ren Yong-Jin Liu Xiwen Zhang Ke-Kun Huang AAML OOD 61 93 0 22 Feb 2022
Conditional Bures Metric for Domain Adaptation You-Wei Luo Chuan-Xian Ren 72 51 0 31 Jul 2021
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation Astuti Sharma Tarun Kalluri Manmohan Chandraker 39 48 0 03 Apr 2021
Dynamic Transfer for Multi-Source Domain Adaptation Yunsheng Li Lu Yuan Yinpeng Chen Pei Wang Nuno Vasconcelos 73 67 0 19 Mar 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 248 1,018 0 03 Mar 2021
Two-phase Pseudo Label Densification for Self-training based Domain Adaptation Inkyu Shin Sanghyun Woo Fei Pan InSo Kweon 68 114 0 09 Dec 2020
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation Hang Wang Minghao Xu Bingbing Ni Wenjun Zhang 93 111 0 17 Jul 2020
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation Luyu Yang Yogesh Balaji Ser-Nam Lim Abhinav Shrivastava 67 112 0 02 Jul 2020
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering Hui Tang Ke Chen Kui Jia CML OOD 71 273 0 19 Mar 2020
Domain Adaptive Ensemble Learning Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang OOD 201 280 0 16 Mar 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 160 3,572 0 21 Jan 2020
Dynamic Convolution: Attention over Convolution Kernels Yinpeng Chen Xiyang Dai Mengchen Liu Dongdong Chen Lu Yuan Zicheng Liu 104 895 0 07 Dec 2019
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 523 42,559 0 03 Dec 2019
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation Shaokai Ye Kailu Wu Mu Zhou Yunfei Yang S. Tan Kaidi Xu Jiebo Song Chenglong Bao Kaisheng Ma 64 21 0 28 Nov 2019
Multi-source Distilling Domain Adaptation Sicheng Zhao Guangzhi Wang Shanghang Zhang Yang Gu Yaxian Li Zhichao Song Pengfei Xu Runbo Hu Hua Chai Kurt Keutzer TTA 75 215 0 22 Nov 2019
CondConv: Conditionally Parameterized Convolutions for Efficient Inference Brandon Yang Gabriel Bender Quoc V. Le Jiquan Ngiam MedIm 3DV 72 636 0 10 Apr 2019
Domain-Symmetric Networks for Adversarial Domain Adaptation Yabin Zhang Hui Tang Kui Jia Mingkui Tan OOD 71 323 0 09 Apr 2019
Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation Yogesh Balaji Rama Chellappa Soheil Feizi 62 49 0 01 Feb 2019
Moment Matching for Multi-Source Domain Adaptation Xingchao Peng Qinxun Bai Xide Xia Zijun Huang Kate Saenko Bo Wang OOD 143 1,809 0 04 Dec 2018
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 224 16,582 0 17 Jul 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 179 3,465 0 05 May 2018
Efficient parametrization of multi-domain deep neural networks Sylvestre-Alvise Rebuffi Hakan Bilen Andrea Vedaldi OOD 76 364 0 27 Mar 2018
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation B. Damodaran B. Kellenberger Rémi Flamary D. Tuia Nicolas Courty OT OOD 80 466 0 27 Mar 2018
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift Ruijia Xu Ziliang Chen W. Zuo Junjie Yan Liang Lin OOD 68 391 0 02 Mar 2018
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation Kuniaki Saito Kohei Watanabe Yoshitaka Ushiku Tatsuya Harada 98 1,795 0 07 Dec 2017
Convolutional Networks with Adaptive Inference Graphs Andreas Veit Serge J. Belongie OOD GNN 95 385 0 30 Nov 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks Xin Wang Feng Yu Zi-Yi Dou Trevor Darrell Joseph E. Gonzalez 103 639 0 26 Nov 2017
Deeper, Broader and Artier Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 124 1,451 0 09 Oct 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 427 26,539 0 05 Sep 2017
Deep Hashing Network for Unsupervised Domain Adaptation Hemanth Venkateswara José Eusébio Shayok Chakraborty S. Panchanathan OOD 147 2,057 0 22 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 728 132,199 0 12 Jun 2017
Residual Attention Network for Image Classification Fei Wang Mengqing Jiang Chao Qian Shuo Yang Cheng Li Honggang Zhang Xiaogang Wang Xiaoou Tang 115 3,312 0 23 Apr 2017
Asymmetric Tri-training for Unsupervised Domain Adaptation Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada 115 587 0 27 Feb 2017
SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning Long Chen Hanwang Zhang Jun Xiao Liqiang Nie Jian Shao Wei Liu Tat-Seng Chua 78 1,662 0 17 Nov 2016
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 164 1,632 0 27 Sep 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 341 8,169 0 13 Aug 2016
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets Srikrishna Karanam Mengran Gou Ziyan Wu Angels Rates-Borras Mario Sznaier Richard J. Radke 92 58 0 31 May 2016
Beyond Sharing Weights for Deep Domain Adaptation Artem Rozantsev Mathieu Salzmann Pascal Fua 59 443 0 21 Mar 2016
Unsupervised Domain Adaptation with Residual Transfer Networks Mingsheng Long Hanjing Zhu Jianmin Wang Michael I. Jordan OOD 91 1,491 0 14 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 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 383 9,511 0 28 May 2015
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 220 5,211 0 10 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,260 0 22 Dec 2014
Deep Domain Confusion: Maximizing for Domain Invariance Eric Tzeng Judy Hoffman Ning Zhang Kate Saenko Trevor Darrell OOD 172 2,605 0 10 Dec 2014
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 235 6,041 0 26 Sep 2014
Learning Factored Representations in a Deep Mixture of Experts David Eigen MarcÁurelio Ranzato Ilya Sutskever MoE 86 377 0 16 Dec 2013