Multi-View Edge Attention Network for Fine-Grained Food Image Segmentation

Precisely identifying and delineating food regions automatically from images, a task known as food image segmentation, is crucial for enabling applications in food science such as auto- mated dietary logging, accurate nutritional analysis, and food safety monitoring. However, accurately segmenting food images, particularly delineating food edges with precision, re- mains challenging due to the wide variety and diverse forms of food items, frequent inter-food occlusion, and ambiguous boundaries...