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Methodology
← Learning Types
Machine Learning
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Domain Adaptation
1154 directly classified papers
Papers per year
2006: 1
2007: 3
2008: 3
2009: 2
2010: 3
2011: 3
2012: 4
2013: 10
2014: 6
2015: 3
2016: 3
2017: 26
2018: 32
2019: 61
2020: 128
2021: 153
2022: 186
2023: 161
2024: 192
2025: 162
2026: 12
Papers
Transferable Semantic Augmentation for Domain Adaptation
CVPR 2021
Multi-Source Domain Adaptation With Collaborative Learning for Semantic Segmentation
CVPR 2021
Dynamic Weighted Learning for Unsupervised Domain Adaptation
CVPR 2021
Generalised Lipschitz Regularisation Equals Distributional Robustness
ICML 2021
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
ICML 2021
Towards Robust Classification Model by Counterfactual and Invariant Data Generation
CVPR 2021
ZeroScatter: Domain Transfer for Long Distance Imaging and Vision Through Scattering Media
CVPR 2021
Generalized Domain Adaptation
CVPR 2021
Group-aware Label Transfer for Domain Adaptive Person Re-identification
CVPR 2021
Domain-Robust VQA With Diverse Datasets and Methods but No Target Labels
CVPR 2021
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation
CVPR 2021
PSD: Principled Synthetic-to-Real Dehazing Guided by Physical Priors
CVPR 2021
Re-Energizing Domain Discriminator With Sample Relabeling for Adversarial Domain Adaptation
ICCV 2021
Gradient Regularized Contrastive Learning for Continual Domain Adaptation
AAAI 2021
Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification
AAAI 2021
Towards Domain Invariant Single Image Dehazing
AAAI 2021
Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation
WACV 2021
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement
WACV 2021
Towards Fair Cross-Domain Adaptation via Generative Learning
WACV 2021
Task-Assisted Domain Adaptation With Anchor Tasks
WACV 2021
Object Recognition With Continual Open Set Domain Adaptation for Home Robot
WACV 2021
Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation
WACV 2021
Fine-Grained Foreground Retrieval via Teacher-Student Learning
WACV 2021
ADA-AT/DT: An Adversarial Approach for Cross-Domain and Cross-Task Knowledge Transfer
WACV 2021
Domain Impression: A Source Data Free Domain Adaptation Method
WACV 2021
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