Adversarial Discriminative Domain Adaptation

Cited by (1,009)

Items 501–600 of 1,009

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8. Adversarial Multiple-Target Domain Adaptation for Fault Classification
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9. Time Series Domain Adaptation via Sparse Associative Structure Alignment
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10. Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation
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13. Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation
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16. Adapting Object Detectors with Conditional Domain Normalization
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17. Are Labels Always Necessary for Classifier Accuracy Evaluation?
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18. Preventing dataset shift from breaking machine-learning biomarkers
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19. Domain-Specific Suppression for Adaptive Object Detection
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21. Deep learning-based adversarial multi-classifier optimization for cross-domain machinery fault diagnostics
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22. Complementary Pseudo Labels for Unsupervised Domain Adaptation On Person Re-Identification
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23. SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses
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24. Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio
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25. To Annotate or Not? Predicting Performance Drop under Domain Shift
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26. Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation
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27. Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate
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28. Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection
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29. Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation
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30. Class-Aligned and Class-Balancing Generative Domain Adaptation for Hyperspectral Image Classification
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31. Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition
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32. Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach
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33. Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation
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34. Transfer Learning in Natural Language Processing
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35. ESCM2
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36. LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation
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37. Adversarial Deep Network Embedding for Cross-Network Node Classification
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38. Self-Supervised Autoregressive Domain Adaptation for Time Series Data
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39. Self-Supervised Transfer Learning Based on Domain Adaptation for Benign-Malignant Lung Nodule Classification on Thoracic CT
    Hong Bing Huang, Ruoyu Wu, Yuan Li, Chao Peng · 2022 · IEEE Journal of Biomedical and Health Informatics
40. ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixing
    Giulio Mattolin, Luca Zanella, Elisa Ricci, Yiming Wang · 2023 · IEEE Winter Conference on Applications of Computer Vision
41. Attention is not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion
    Liang, Tao, Lin, Guosheng, Feng, Lei, Zhang, Yan, Lv, Fengmao · 2021 · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
42. Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning
    Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia, Perla Sai Raj Kishore, Partha Pratim Roy · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
43. Domain Adaption for Fine-Grained Urban Village Extraction From Satellite Images
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44. PhyMDAN: Physics-informed knowledge transfer between buildings for seismic damage diagnosis through adversarial learning
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45. CONFIG: Controllable Neural Face Image Generation
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46. Transfer learning for nonparametric classification: Minimax rate and adaptive classifier
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47. Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation
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48. Predicting with Confidence on Unseen Distributions
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49. Learning to Correct Climate Projection Biases
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50. Towards Discriminative Representation Learning for Unsupervised Person Re-identification
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51. 2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection
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52. Learning with Privileged Information via Adversarial Discriminative Modality Distillation
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53. Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational Pathology
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54. Triplet Loss Guided Adversarial Domain Adaptation for Bearing Fault Diagnosis
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55. Factors of Influence for Transfer Learning Across Diverse Appearance Domains and Task Types
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56. Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation
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57. Integrated Multiscale Domain Adaptive YOLO
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58. Transferred deep learning based waveform recognition for cognitive passive radar
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59. Deep Multi-Modality Adversarial Networks for Unsupervised Domain Adaptation
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60. Adversarially Approximated Autoencoder for Image Generation and Manipulation
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61. iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection
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62. Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting
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63. Adversarial Recurrent Time Series Imputation
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64. PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images
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65. Multi-Source Contribution Learning for Domain Adaptation
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66. Contrastive Domain Adaptation
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67. I 3 Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors
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68. SoFA: Source-data-free Feature Alignment for Unsupervised Domain Adaptation
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69. MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation
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70. Dual Path Learning for Domain Adaptation of Semantic Segmentation
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71. Brain-Machine Coupled Learning Method for Facial Emotion Recognition
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72. Semi-Supervised Learning by Augmented Distribution Alignment
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73. DeceptionNet: Network-Driven Domain Randomization
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74. Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning
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87. Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey
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88. Consensus Adversarial Domain Adaptation
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89. Cycle-consistent Conditional Adversarial Transfer Networks
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100. FLIP: Cross-domain Face Anti-spoofing with Language Guidance
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