Image Data Augmentation

Object-Aware Mix

Introduced by Lee et al. in Object-Aware Domain Generalization for Object Detection

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.

Source: Object-Aware Domain Generalization for Object Detection

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Autonomous Driving 1 16.67%
Domain Generalization 1 16.67%
Object 1 16.67%
Object Detection 1 16.67%
Object Localization 1 16.67%
Robust Object Detection 1 16.67%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories