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Domain Adaptation
8656 directly classified 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
Learning Deep Object Detectors From 3D Models
ICCV 2015
Semi-Supervised Domain Adaptation With Subspace Learning for Visual Recognition
CVPR 2015
Selecting Relevant Web Trained Concepts for Automated Event Retrieval
ICCV 2015
Unsupervised Domain Adaptation for Zero-Shot Learning
ICCV 2015
Transferring a Semantic Representation for Person Re-Identification and Search
CVPR 2015
Learning spatiotemporal trajectories from manifold-valued longitudinal data
NIPS 2015
Discriminative Robust Transformation Learning
NIPS 2015
Real-Time Visual Analysis of Microvascular Blood Flow for Critical Care
CVPR 2015
Deep Transfer Metric Learning
CVPR 2015
Region-Based Temporally Consistent Video Post-Processing
CVPR 2015
Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation
CVPR 2015
Deep Domain Adaptation for Describing People Based on Fine-Grained Clothing Attributes
CVPR 2015
Active Nearest Neighbors in Changing Environments
ICML 2015
A Large-Scale Car Dataset for Fine-Grained Categorization and Verification
CVPR 2015
Ontological Supervision for Fine Grained Classification of Street View Storefronts
CVPR 2015
Learning With Dataset Bias in Latent Subcategory Models
CVPR 2015
Continuous Target Shift Adaptation in Supervised Learning
ACML 2015
Semantics-Preserving Hashing for Cross-View Retrieval
CVPR 2015
Optimal Graph Learning With Partial Tags and Multiple Features for Image and Video Annotation
CVPR 2015
On Semi-Supervised Linear Regression in Covariate Shift Problems
JMLR 2015
Defocus Deblurring and Superresolution for Time-of-Flight Depth Cameras
CVPR 2015
Top Rank Supervised Binary Coding for Visual Search
ICCV 2015
Generating Notifications for Missing Actions: Don't Forget to Turn the Lights Off!
ICCV 2015
Is Feature Selection Secure against Training Data Poisoning?
ICML 2015
SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks
ICCV 2015
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