A2XP: Towards Private Domain Generalization

arXiv:2311.10339v2 Announce Type: replace
Abstract: Deep Neural Networks (DNNs) have become pivotal in various fields, especially in computer vision, outperforming previous methodologies. A critical challenge in their deployment is the bias inherent in data across different domains, such as image style and environmental conditions, leading to domain gaps. This necessitates techniques for learning general representations from biased training data, known as domain generalization. This paper presents Attend to eXpert Prompts (A2XP), a novel approach for domain generalization that preserves the …

abstract arxiv become bias challenge computer computer vision cs.cv data deployment domain domains environmental fields general image networks neural networks pivotal style type vision