OVFoodSeg : Elevating open-vocabulary food image segmentation via image-informed textual representation

• Main Authors: WU, Xiongwei, YU, Sicheng, LIM, Ee-Peng, NGO, Chong-wah
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Food image segmentation; Text embeddings; Vision language model; Image segmentation; Visualization; Computer vision; Adaptation models; Machine learning; Artificial Intelligence and Robotics; Computer Sciences
• Online Access: https://ink.library.smu.edu.sg/sis_research/9861
• Institution: Singapore Management University

In the realm of food computing, segmenting ingredients from images poses substantial challenges due to the large intra-class variance among the same ingredients, the emergence of new ingredients, and the high annotation costs as-sociated with large food segmentation datasets. Existing approaches pri...