
The author explores the importance of considering both local and global attribute variations in evaluating segmentation models, highlighting the impact on performance.


coremsg

Benchmarking-Segmentation-Models-with-Mask-Preserved-Attribute-Editing-Evaluating-Robustness-to-Local-and-Global-Attribute-Variations


Benchmarking Segmentation Models with Mask-Preserved Attribute Editing: Evaluating Robustness to Local and Global Attribute Variations


title_rewrite


로컬 및 글로벌 속성 변화에 대한 세분화 모델의 강인성 평가


mask-preserved-attribute-editing-for-segmentation-model-benchmarking


Mask-Preserved Attribute Editing for Segmentation Model Benchmarking
