WhiteCon: Semi-Supervised Domain Adaptation Regression Through Whitening Transform and Dual Consistency

arXiv:2609.34078 · cs.CV, cs.AI · Submitted 2026-09-28 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/sejin-sim/WhiteCon

Terminology

Adaptation — 62× in this paper · explained in 1 episode
Domain Adaptation — 53× in this paper · explained in 5 episodes
Consistency — 43× in this paper · explained in 3 episodes
Regularization — 30× in this paper · explained in 3 episodes
Alignment — 12× in this paper · explained in 1 episode
Benchmark — 10× in this paper · explained in 2 episodes
Domain Shift — 10× in this paper · explained in 4 episodes
Robustness — 5× in this paper · explained in 5 episodes
Generalization — 4× in this paper · explained in 13 episodes
Ablation — 2× in this paper · explained in 1 episode
Adversarial Training — 2× in this paper · explained in 1 episode
Clustering — 2× in this paper · explained in 2 episodes
Transfer Learning — 2× in this paper · explained in 10 episodes
Ablation Studies — 1× in this paper · explained in 1 episode
Ablation study — 1× in this paper · explained in 1 episode
AdamW Optimizer — 1× in this paper · explained in 1 episode
Contrastive Learning — 1× in this paper · explained in 5 episodes
Data Augmentation — 1× in this paper · explained in 7 episodes
Distribution Matching — 1× in this paper · explained in 2 episodes
Distribution Shift — 1× in this paper · explained in 6 episodes
Hilbert Space — 1× in this paper · explained in 2 episodes
Self-Supervised Learning — 1× in this paper · explained in 8 episodes
Semi-supervised Learning — 1× in this paper · explained in 4 episodes

Sources

Full-range Head Pose Geometric Data Augmentations

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