Food Computing

Lightweight Food Localization and Recognition via Multi-Branch Feature Learning and Enhanced Aggregation
Food image localization and recognition on edge devices is a core task in food computing, enabling convenient dietary monitoring and …
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SyMFood: Synergistic Multi-Modal Prompting for Fine-Grained Zero-Shot Food Detection
Fine-grained object detection in food computing is severely constrained by the vast diversity of food items and the high cost of data …
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FoodHash: Context-Aware Proxy Interaction and Fusion for Food Image Retrieval
Vision-based food image retrieval has garnered significant attention due to its potential for critical applications in dietary and …
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