Cover Image

MetaFood3D: 3D Food Dataset with Nutrition Values

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Yuhao, He, Jiangpeng, Vinod, Gautham, Raghavan, Siddeshwar, Czarnecki, Chris, Ma, Jinge, Mahmud, Talha Ibn, Coburn, Bruce, Mao, Dayou, Nair, Saeejith, Xi, Pengcheng, Wong, Alexander, Delp, Edward, Zhu, Fengqing
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Implicit-Scale 3D Reconstruction for Multi-Food Volume Estimation from Monocular Images
by: Chen, Yuhao, et al.
Published: (2026)

Size Matters: Reconstructing Real-Scale 3D Models from Monocular Images for Food Portion Estimation
by: Vinod, Gautham, et al.
Published: (2026)

MFP3D: Monocular Food Portion Estimation Leveraging 3D Point Clouds
by: Ma, Jinge, et al.
Published: (2024)

MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results
by: He, Jiangpeng, et al.
Published: (2024)

DietDelta: A Vision-Language Approach for Dietary Assessment via Before-and-After Images
by: Vinod, Gautham, et al.
Published: (2026)

Not Your Stereo-Typical Estimator: Combining Vision and Language for Volume Perception
by: Vinod, Gautham, et al.
Published: (2026)

Can You Hear, Localize, and Segment Continually? An Exemplar-Free Continual Learning Benchmark for Audio-Visual Segmentation
by: Raghavan, Siddeshwar, et al.
Published: (2026)

Online Class-Incremental Learning For Real-World Food Image Classification
by: Raghavan, Siddeshwar, et al.
Published: (2023)

Food Portion Estimation via 3D Object Scaling
by: Vinod, Gautham, et al.
Published: (2024)

DELTA: Decoupling Long-Tailed Online Continual Learning
by: Raghavan, Siddeshwar, et al.
Published: (2024)

PANDA -- Patch And Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning
by: Raghavan, Siddeshwar, et al.
Published: (2025)

Robust3D-CIL: Robust Class-Incremental Learning for 3D Perception
by: Ma, Jinge, et al.
Published: (2025)

Food Portion Estimation: From Pixels to Calories
by: Vinod, Gautham, et al.
Published: (2026)

NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation
by: Tai, Chi-en Amy, et al.
Published: (2023)

Food Image Generation on Multi-Noun Categories
by: Pan, Xinyue, et al.
Published: (2025)

FMiFood: Multi-modal Contrastive Learning for Food Image Classification
by: Pan, Xinyue, et al.
Published: (2024)

GraphPad: Inference-Time 3D Scene Graph Updates for Embodied Question Answering
by: Ali, Muhammad Qasim, et al.
Published: (2025)

Comprehensive Evaluation of Large Multimodal Models for Nutrition Analysis: A New Benchmark Enriched with Contextual Metadata
by: Coburn, Bruce, et al.
Published: (2025)

How Much You Ate? Food Portion Estimation on Spoons
by: Sharma, Aaryam, et al.
Published: (2024)

Learning to Classify New Foods Incrementally Via Compressed Exemplars
by: Yang, Justin, et al.
Published: (2024)

NutritionVerse-Direct: Exploring Deep Neural Networks for Multitask Nutrition Prediction from Food Images
by: Keller, Matthew, et al.
Published: (2024)

Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models
by: Kolbinger, Fiona R., et al.
Published: (2024)

MOSAIC: Multi-agent Orchestration for Task-Intelligent Scientific Coding
by: Raghavan, Siddeshwar, et al.
Published: (2025)

No Test Cases, No Problem: Distillation-Driven Code Generation for Scientific Workflows
by: Raghavan, Siddeshwar, et al.
Published: (2026)

Training-Free Text-to-Image Compositional Food Generation via Prompt Grafting
by: Pan, Xinyue, et al.
Published: (2026)

Long-Tailed Continual Learning For Visual Food Recognition
by: He, Jiangpeng, et al.
Published: (2023)

NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches
by: Tai, Chi-en Amy, et al.
Published: (2023)

Gradient Reweighting: Towards Imbalanced Class-Incremental Learning
by: He, Jiangpeng, et al.
Published: (2024)

Temporal Imbalance of Positive and Negative Supervision in Class-Incremental Learning
by: Ma, Jinge, et al.
Published: (2026)

Dual-Imbalance Continual Learning for Real-World Food Recognition
by: Zhang, Xiaoyan, et al.
Published: (2026)

PortionNet: Distilling 3D Geometric Knowledge for Food Nutrition Estimation
by: Bright, Darrin, et al.
Published: (2025)

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
by: He, Jiangpeng, et al.
Published: (2025)

Food, Nutrition and Health
Published: (2025)

Food & Nutrition Research
Published: (2008)

Understanding the Limitations of Diffusion Concept Algebra Through Food
by: Zeng, E. Zhixuan, et al.
Published: (2024)

Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor
by: Huang, Yuning, et al.
Published: (2024)

FoodTrack: Estimating Handheld Food Portions with Egocentric Video
by: Wang, Ervin, et al.
Published: (2025)

In The Wild Ellipse Parameter Estimation for Circular Dining Plates and Bowls
by: Pathiranage, Akil, et al.
Published: (2024)

MFSeg: Efficient Multi-frame 3D Semantic Segmentation
by: Huang, Chengjie, et al.
Published: (2025)

Indonesian Food and Nutrition Progress
Published: (2018)