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Machine Learning
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Application Areas
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Domain Adaptation
8,656 papers
Papers per year
2003: 1
2004: 2
2006: 11
2007: 9
2008: 8
2009: 13
2010: 14
2011: 16
2012: 16
2013: 44
2014: 32
2015: 44
2016: 126
2017: 203
2018: 378
2019: 662
2020: 726
2021: 1006
2022: 964
2023: 1217
2024: 1326
2025: 1387
2026: 451
Papers
Fake It Till You Make It: Face Analysis in the Wild Using Synthetic Data Alone
ICCV 2021
Adversarial Unsupervised Domain Adaptation With Conditional and Label Shift: Infer, Align and Iterate
ICCV 2021
Learning Cross-Modal Contrastive Features for Video Domain Adaptation
ICCV 2021
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation
ICCV 2021
STEM: An Approach to Multi-Source Domain Adaptation With Guarantees
ICCV 2021
Multi-Anchor Active Domain Adaptation for Semantic Segmentation
ICCV 2021
Deep Co-Training With Task Decomposition for Semi-Supervised Domain Adaptation
ICCV 2021
Adversarial Attacks on Multi-Agent Communication
ICCV 2021
Vector-Decomposed Disentanglement for Domain-Invariant Object Detection
ICCV 2021
IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID
ICCV 2021
CrossNorm and SelfNorm for Generalization Under Distribution Shifts
ICCV 2021
mDALU: Multi-Source Domain Adaptation and Label Unification With Partial Datasets
ICCV 2021
Cross-Category Video Highlight Detection via Set-Based Learning
ICCV 2021
Attention Is Not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion
ICCV 2021
Cross-Descriptor Visual Localization and Mapping
ICCV 2021
Trash To Treasure: Harvesting OOD Data With Cross-Modal Matching for Open-Set Semi-Supervised Learning
ICCV 2021
Towards Novel Target Discovery Through Open-Set Domain Adaptation
ICCV 2021
Generalizing Gaze Estimation With Outlier-Guided Collaborative Adaptation
ICCV 2021
BioFors: A Large Biomedical Image Forensics Dataset
ICCV 2021
Tune It the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density
ICCV 2021
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation
ICCV 2021
Learning Canonical 3D Object Representation for Fine-Grained Recognition
ICCV 2021
Learning Instance-Level Spatial-Temporal Patterns for Person Re-Identification
ICCV 2021
Weak Adaptation Learning: Addressing Cross-Domain Data Insufficiency With Weak Annotator
ICCV 2021
Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds
ICCV 2021
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