NutritionVerse-Direct: Exploring Deep Neural Networks for Multitask Nutrition Prediction from Food Images
Fuente:
arXiv
Guardado en:
| Autores principales: | Keller, Matthew, Tai, Chi-en Amy, Chen, Yuhao, Xi, Pengcheng, Wong, Alexander |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches
por: Tai, Chi-en Amy, et al.
Publicado: (2023)
por: Tai, Chi-en Amy, et al.
Publicado: (2023)
NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation
por: Tai, Chi-en Amy, et al.
Publicado: (2023)
por: Tai, Chi-en Amy, et al.
Publicado: (2023)
Improving Breast Cancer Grade Prediction with Multiparametric MRI Created Using Optimized Synthetic Correlated Diffusion Imaging
por: Tai, Chi-en Amy, et al.
Publicado: (2024)
por: Tai, Chi-en Amy, et al.
Publicado: (2024)
Using Multiparametric MRI with Optimized Synthetic Correlated Diffusion Imaging to Enhance Breast Cancer Pathologic Complete Response Prediction
por: Tai, Chi-en Amy, et al.
Publicado: (2024)
por: Tai, Chi-en Amy, et al.
Publicado: (2024)
Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer
por: Tai, Chi-en Amy, et al.
Publicado: (2024)
por: Tai, Chi-en Amy, et al.
Publicado: (2024)
Optimizing Synthetic Correlated Diffusion Imaging for Breast Cancer Tumour Delineation
por: Tai, Chi-en Amy, et al.
Publicado: (2024)
por: Tai, Chi-en Amy, et al.
Publicado: (2024)
Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging
por: Dewbury, Jarett, et al.
Publicado: (2025)
por: Dewbury, Jarett, et al.
Publicado: (2025)
Cancer-Net PCa-MultiSeg: Multimodal Enhancement of Prostate Cancer Lesion Segmentation Using Synthetic Correlated Diffusion Imaging
por: Dewbury, Jarett, et al.
Publicado: (2025)
por: Dewbury, Jarett, et al.
Publicado: (2025)
MetaFood3D: 3D Food Dataset with Nutrition Values
por: Chen, Yuhao, et al.
Publicado: (2024)
por: Chen, Yuhao, et al.
Publicado: (2024)
Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images
por: Tai, Chi-en Amy, et al.
Publicado: (2023)
por: Tai, Chi-en Amy, et al.
Publicado: (2023)
Cancer-Net SCa-Synth: An Open Access Synthetically Generated 2D Skin Lesion Dataset for Skin Cancer Classification
por: Tai, Chi-en Amy, et al.
Publicado: (2024)
por: Tai, Chi-en Amy, et al.
Publicado: (2024)
How Much You Ate? Food Portion Estimation on Spoons
por: Sharma, Aaryam, et al.
Publicado: (2024)
por: Sharma, Aaryam, et al.
Publicado: (2024)
Leveraging Automatic Personalised Nutrition: Food Image Recognition Benchmark and Dataset based on Nutrition Taxonomy
por: Romero-Tapiador, Sergio, et al.
Publicado: (2022)
por: Romero-Tapiador, Sergio, et al.
Publicado: (2022)
Food Recognition and Nutritional Apps
por: Rahman, Lubnaa Abdur, et al.
Publicado: (2023)
por: Rahman, Lubnaa Abdur, et al.
Publicado: (2023)
In The Wild Ellipse Parameter Estimation for Circular Dining Plates and Bowls
por: Pathiranage, Akil, et al.
Publicado: (2024)
por: Pathiranage, Akil, et al.
Publicado: (2024)
OmniFood8K: Single-Image Nutrition Estimation via Hierarchical Frequency-Aligned Fusion
por: Yu, Dongjian, et al.
Publicado: (2026)
por: Yu, Dongjian, et al.
Publicado: (2026)
Understanding the Limitations of Diffusion Concept Algebra Through Food
por: Zeng, E. Zhixuan, et al.
Publicado: (2024)
por: Zeng, E. Zhixuan, et al.
Publicado: (2024)
PortionNet: Distilling 3D Geometric Knowledge for Food Nutrition Estimation
por: Bright, Darrin, et al.
Publicado: (2025)
por: Bright, Darrin, et al.
Publicado: (2025)
Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion
por: Qi, Huiyan, et al.
Publicado: (2025)
por: Qi, Huiyan, et al.
Publicado: (2025)
Deep Convolutional Neural Networks Meet Variational Shape Compactness Priors for Image Segmentation
por: Zhang, Kehui, et al.
Publicado: (2024)
por: Zhang, Kehui, et al.
Publicado: (2024)
Evaluating Gemini LLM in Food Image-Based Recipe and Nutrition Description with EfficientNet-B4 Visual Backbone
por: Anam, Rizal Khoirul
Publicado: (2025)
por: Anam, Rizal Khoirul
Publicado: (2025)
Diffusion Decoding for Peptide De Novo Sequencing
por: Tai, Chi-en Amy, et al.
Publicado: (2025)
por: Tai, Chi-en Amy, et al.
Publicado: (2025)
Food Image Generation on Multi-Noun Categories
por: Pan, Xinyue, et al.
Publicado: (2025)
por: Pan, Xinyue, et al.
Publicado: (2025)
MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results
por: He, Jiangpeng, et al.
Publicado: (2024)
por: He, Jiangpeng, et al.
Publicado: (2024)
FoodTrack: Estimating Handheld Food Portions with Egocentric Video
por: Wang, Ervin, et al.
Publicado: (2025)
por: Wang, Ervin, et al.
Publicado: (2025)
Training-Free Text-to-Image Compositional Food Generation via Prompt Grafting
por: Pan, Xinyue, et al.
Publicado: (2026)
por: Pan, Xinyue, et al.
Publicado: (2026)
PND-Net: Plant Nutrition Deficiency and Disease Classification using Graph Convolutional Network
por: Bera, Asish, et al.
Publicado: (2024)
por: Bera, Asish, et al.
Publicado: (2024)
Flow Equivariant Recurrent Neural Networks
por: Keller, T. Anderson
Publicado: (2025)
por: Keller, T. Anderson
Publicado: (2025)
NutrifyAI: An AI-Powered System for Real-Time Food Detection, Nutritional Analysis, and Personalized Meal Recommendations
por: Han, Michelle, et al.
Publicado: (2024)
por: Han, Michelle, et al.
Publicado: (2024)
Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks
por: Patel, Neel, et al.
Publicado: (2024)
por: Patel, Neel, et al.
Publicado: (2024)
DEFNet: Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment
por: Lou, Yiwei, et al.
Publicado: (2025)
por: Lou, Yiwei, et al.
Publicado: (2025)
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis
por: Dutta, Soumya, et al.
Publicado: (2024)
por: Dutta, Soumya, et al.
Publicado: (2024)
DeepVerse: 4D Autoregressive Video Generation as a World Model
por: Chen, Junyi, et al.
Publicado: (2025)
por: Chen, Junyi, et al.
Publicado: (2025)
EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning
por: Ju, Xuan, et al.
Publicado: (2025)
por: Ju, Xuan, et al.
Publicado: (2025)
Exploring the Potentials of Spiking Neural Networks for Image Deraining
por: Chen, Shuang, et al.
Publicado: (2025)
por: Chen, Shuang, et al.
Publicado: (2025)
Investigating the Impact of Large-Scale Pre-training on Nutritional Content Estimation from 2D Images
por: Andrade, Michele, et al.
Publicado: (2025)
por: Andrade, Michele, et al.
Publicado: (2025)
Implications of Noise in Resistive Memory on Deep Neural Networks for Image Classification
por: Emonds, Yannick, et al.
Publicado: (2024)
por: Emonds, Yannick, et al.
Publicado: (2024)
Optimizing Multitask Industrial Processes with Predictive Action Guidance
por: Mehta, Naval Kishore, et al.
Publicado: (2025)
por: Mehta, Naval Kishore, et al.
Publicado: (2025)
A Multitask Deep Learning Model for Classification and Regression of Hyperspectral Images: Application to the large-scale dataset
por: Chhapariya, Koushikey, et al.
Publicado: (2024)
por: Chhapariya, Koushikey, et al.
Publicado: (2024)
UniVerse: A Unified Modulation Framework for Segmentation-Free,Disentangled Multi-Concept Personalization
por: Phung, Quynh, et al.
Publicado: (2026)
por: Phung, Quynh, et al.
Publicado: (2026)
Ejemplares similares
-
NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches
por: Tai, Chi-en Amy, et al.
Publicado: (2023) -
NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation
por: Tai, Chi-en Amy, et al.
Publicado: (2023) -
Improving Breast Cancer Grade Prediction with Multiparametric MRI Created Using Optimized Synthetic Correlated Diffusion Imaging
por: Tai, Chi-en Amy, et al.
Publicado: (2024) -
Using Multiparametric MRI with Optimized Synthetic Correlated Diffusion Imaging to Enhance Breast Cancer Pathologic Complete Response Prediction
por: Tai, Chi-en Amy, et al.
Publicado: (2024) -
Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer
por: Tai, Chi-en Amy, et al.
Publicado: (2024)