تقرير
Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain
| العنوان: | Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain |
|---|---|
| المؤلفون: | Chung, Kuan-I, Moyer, Daniel |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science Mathematics |
| مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition, Computer Science - Information Theory, Computer Science - Machine Learning |
| الوصف: | We introduce an assessment procedure for interactive segmentation models. Based on concepts from Bayesian Experimental Design, the procedure measures a model's understanding of point prompts and their correspondence with the desired segmentation mask. We show that Oracle Dice index measurements are insensitive or even misleading in measuring this property. We demonstrate the use of the proposed procedure on three interactive segmentation models and subsets of two large image segmentation datasets. |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2404.16155 |
| رقم الأكسشن: | edsarx.2404.16155 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |