OA-Mix

2000년 도입 · 논문 1편에서 사용

OA-Mix is a general and effective data augmentation method for single-domain generalization in object detection. It increases image diversity while preserving important semantic features with multi-level transformations and object-aware mixing.

출처: Object-Aware Domain Generalization for Object Detection

소개 논문: Object-Aware Domain Generalization for Object Detection