Nutrition

26 papers with code • 1 benchmarks • 1 datasets

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Datasets


Most implemented papers

Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images

LARC-CMU-SMU/ACME CVPR 2019

Food computing is playing an increasingly important role in human daily life, and has found tremendous applications in guiding human behavior towards smart food consumption and healthy lifestyle.

FoodTracker: A Real-time Food Detection Mobile Application by Deep Convolutional Neural Networks

PhucDuy/FoodDetector 13 Sep 2019

We present a mobile application made to recognize food items of multi-object meal from a single image in real-time, and then return the nutrition facts with components and approximate amounts.

An Open-Source Dataset on Dietary Behaviors and DASH Eating Plan Optimization Constraints

CSSEHealthcare/InverseLearning 15 Oct 2020

We hope that this data and its supplementary, open-accessed materials can accelerate and simplify interpretations and research on linear optimization and constrained inference models.

Nutribullets Hybrid: Multi-document Health Summarization

atulkum/pointer_summarizer 8 Apr 2021

We present a method for generating comparative summaries that highlights similarities and contradictions in input documents.

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

allenai/dolma NA 2021

Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world.

MUSEFood: Multi-sensor-based Food Volume Estimation on Smartphones

MUSEFood/MUSEFood 18 Mar 2019

Furthermore, MUSEFood uses the microphone and the speaker to accurately measure the vertical distance from the camera to the food in a noisy environment, thus scaling the size of food in the image to its actual size.

Market2Dish: Health-aware Food Recommendation

WenjieWWJ/FoodRec 11 Dec 2020

With the rising incidence of some diseases, such as obesity and diabetes, a healthy diet is arousing increasing attention.

Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph

hugochan/PFoodReq 5 Jan 2021

Food recommendation has become an important means to help guide users to adopt healthy dietary habits.

Nutrition5k: Towards Automatic Nutritional Understanding of Generic Food

google-research-datasets/Nutrition5k CVPR 2021

Understanding the nutritional content of food from visual data is a challenging computer vision problem, with the potential to have a positive and widespread impact on public health.

Nutri-bullets: Summarizing Health Studies by Composing Segments

darsh10/Nutribullets 22 Mar 2021

We introduce \emph{Nutri-bullets}, a multi-document summarization task for health and nutrition.