Domain Recentering and Confidence-Weighted Prior Calibration for Vision-Language Models

arXiv:2609.29358 · cs.CV, cs.AI · Submitted 2026-09-24 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

Calibration — 14× in this paper · explained in 7 episodes
Benchmark — 12× in this paper · explained in 2 episodes
Accuracy — 11× in this paper · explained in 1 episode
Vision-language models — 8× in this paper · explained in 2 episodes
Distribution Shift — 6× in this paper · explained in 6 episodes
Embeddings — 6× in this paper · explained in 2 episodes
Adaptation — 5× in this paper · explained in 1 episode
Robustness — 4× in this paper · explained in 5 episodes
Ablation — 3× in this paper · explained in 1 episode
CVF International Conference on Computer Vision — 2× in this paper
Generalization — 2× in this paper · explained in 13 episodes
National Research Foundation of Korea — 2× in this paper
Ablation Studies — 1× in this paper · explained in 1 episode
Ablation study — 1× in this paper · explained in 1 episode
Adversarial Examples — 1× in this paper · explained in 2 episodes
Clustering — 1× in this paper · explained in 2 episodes
Conference on Computer Vision and Pattern Recognition — 1× in this paper
Cosine Similarity — 1× in this paper · explained in 3 episodes
Data Augmentation — 1× in this paper · explained in 7 episodes
Domain Recentering with Confidence Calibration — 1× in this paper
Domain Shift — 1× in this paper · explained in 4 episodes
Foundation Model — 1× in this paper · explained in 3 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
Generative AI — 1× in this paper · explained in 2 episodes
Zero-Shot Generalization — 1× in this paper · explained in 5 episodes

Terminology

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