Convolution-Enhanced Bi-Branch Adaptive Transformer with Cross-Task Interaction for Food Category and Ingredient Recognition
Recently, visual food analysis has received more and more attention in the computer vision
community due to its wide application scenarios, eg, diet nutrition management, smart …
community due to its wide application scenarios, eg, diet nutrition management, smart …
From plate to production: Artificial intelligence in modern consumer-driven food systems
Global food systems confront the urgent challenge of supplying sustainable, nutritious diets
in the face of escalating demands. The advent of Artificial Intelligence (AI) is bringing in a …
in the face of escalating demands. The advent of Artificial Intelligence (AI) is bringing in a …
Foodlmm: A versatile food assistant using large multi-modal model
Large Multi-modal Models (LMMs) have made impressive progress in many vision-language
tasks. Nevertheless, the performance of general LMMs in specific domains is still far from …
tasks. Nevertheless, the performance of general LMMs in specific domains is still far from …
RD-FGM: A novel model for high-quality and diverse food image generation and ingredient classification
J Wang, Y Zheng, J Wang, X Xiao, J Sun… - Expert Systems with …, 2024 - Elsevier
Food image generation plays a crucial role in evaluating multiple food ingredients,
predicting dietary preferences, recommending food, and computing dietary nutrition …
predicting dietary preferences, recommending food, and computing dietary nutrition …
FoodSky: A Food-oriented Large Language Model that Passes the Chef and Dietetic Examination
Food is foundational to human life, serving not only as a source of nourishment but also as a
cornerstone of cultural identity and social interaction. As the complexity of global dietary …
cornerstone of cultural identity and social interaction. As the complexity of global dietary …
RoDE: Linear Rectified Mixture of Diverse Experts for Food Large Multi-Modal Models
P Jiao, X Wu, B Zhu, J Chen, CW Ngo… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Multi-modal Models (LMMs) have significantly advanced a variety of vision-language
tasks. The scalability and availability of high-quality training data play a pivotal role in the …
tasks. The scalability and availability of high-quality training data play a pivotal role in the …
Food Computing for Nutrition and Health
S Jiang - 2024 IEEE 40th International Conference on Data …, 2024 - ieeexplore.ieee.org
Dietary intake is the main source of human nutrition and thus an important material
foundation for maintaining human health. Food computing applies computational …
foundation for maintaining human health. Food computing applies computational …