تقرير
Multi-scale gridded Gabor attention for cirrus segmentation
| العنوان: | Multi-scale gridded Gabor attention for cirrus segmentation |
|---|---|
| المؤلفون: | Richards, Felix, Paiement, Adeline, Xie, Xianghua, Sola, Elisabeth, Duc, Pierre-Alain |
| المصدر: | IEEE International Conference on Image Processing (ICIP) 2022 |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science Astrophysics |
| مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition, Astrophysics - Instrumentation and Methods for Astrophysics |
| الوصف: | In this paper, we address the challenge of segmenting global contaminants in large images. The precise delineation of such structures requires ample global context alongside understanding of textural patterns. CNNs specialise in the latter, though their ability to generate global features is limited. Attention measures long range dependencies in images, capturing global context, though at a large computational cost. We propose a gridded attention mechanism to address this limitation, greatly increasing efficiency by processing multi-scale features into smaller tiles. We also enhance the attention mechanism for increased sensitivity to texture orientation, by measuring correlations across features dependent on different orientations, in addition to channel and positional attention. We present results on a new dataset of astronomical images, where the task is segmenting large contaminating dust clouds. |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2407.08852 |
| رقم الأكسشن: | edsarx.2407.08852 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |