Saved in:
| Main Authors: | Keller, Matthew, Tai, Chi-en Amy, Chen, Yuhao, Xi, Pengcheng, Wong, Alexander |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.07814 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches
by: Tai, Chi-en Amy, et al.
Published: (2023)
by: Tai, Chi-en Amy, et al.
Published: (2023)
NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation
by: Tai, Chi-en Amy, et al.
Published: (2023)
by: Tai, Chi-en Amy, et al.
Published: (2023)
Improving Breast Cancer Grade Prediction with Multiparametric MRI Created Using Optimized Synthetic Correlated Diffusion Imaging
by: Tai, Chi-en Amy, et al.
Published: (2024)
by: Tai, Chi-en Amy, et al.
Published: (2024)
Using Multiparametric MRI with Optimized Synthetic Correlated Diffusion Imaging to Enhance Breast Cancer Pathologic Complete Response Prediction
by: Tai, Chi-en Amy, et al.
Published: (2024)
by: Tai, Chi-en Amy, et al.
Published: (2024)
Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer
by: Tai, Chi-en Amy, et al.
Published: (2024)
by: Tai, Chi-en Amy, et al.
Published: (2024)
Optimizing Synthetic Correlated Diffusion Imaging for Breast Cancer Tumour Delineation
by: Tai, Chi-en Amy, et al.
Published: (2024)
by: Tai, Chi-en Amy, et al.
Published: (2024)
Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging
by: Dewbury, Jarett, et al.
Published: (2025)
by: Dewbury, Jarett, et al.
Published: (2025)
Cancer-Net PCa-MultiSeg: Multimodal Enhancement of Prostate Cancer Lesion Segmentation Using Synthetic Correlated Diffusion Imaging
by: Dewbury, Jarett, et al.
Published: (2025)
by: Dewbury, Jarett, et al.
Published: (2025)
Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images
by: Tai, Chi-en Amy, et al.
Published: (2023)
by: Tai, Chi-en Amy, et al.
Published: (2023)
MetaFood3D: 3D Food Dataset with Nutrition Values
by: Chen, Yuhao, et al.
Published: (2024)
by: Chen, Yuhao, et al.
Published: (2024)
Cancer-Net SCa-Synth: An Open Access Synthetically Generated 2D Skin Lesion Dataset for Skin Cancer Classification
by: Tai, Chi-en Amy, et al.
Published: (2024)
by: Tai, Chi-en Amy, et al.
Published: (2024)
How Much You Ate? Food Portion Estimation on Spoons
by: Sharma, Aaryam, et al.
Published: (2024)
by: Sharma, Aaryam, et al.
Published: (2024)
Leveraging Automatic Personalised Nutrition: Food Image Recognition Benchmark and Dataset based on Nutrition Taxonomy
by: Romero-Tapiador, Sergio, et al.
Published: (2022)
by: Romero-Tapiador, Sergio, et al.
Published: (2022)
Food Recognition and Nutritional Apps
by: Rahman, Lubnaa Abdur, et al.
Published: (2023)
by: Rahman, Lubnaa Abdur, et al.
Published: (2023)
In The Wild Ellipse Parameter Estimation for Circular Dining Plates and Bowls
by: Pathiranage, Akil, et al.
Published: (2024)
by: Pathiranage, Akil, et al.
Published: (2024)
Understanding the Limitations of Diffusion Concept Algebra Through Food
by: Zeng, E. Zhixuan, et al.
Published: (2024)
by: Zeng, E. Zhixuan, et al.
Published: (2024)
OmniFood8K: Single-Image Nutrition Estimation via Hierarchical Frequency-Aligned Fusion
by: Yu, Dongjian, et al.
Published: (2026)
by: Yu, Dongjian, et al.
Published: (2026)
PortionNet: Distilling 3D Geometric Knowledge for Food Nutrition Estimation
by: Bright, Darrin, et al.
Published: (2025)
by: Bright, Darrin, et al.
Published: (2025)
Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion
by: Qi, Huiyan, et al.
Published: (2025)
by: Qi, Huiyan, et al.
Published: (2025)
Diffusion Decoding for Peptide De Novo Sequencing
by: Tai, Chi-en Amy, et al.
Published: (2025)
by: Tai, Chi-en Amy, et al.
Published: (2025)
Evaluating Gemini LLM in Food Image-Based Recipe and Nutrition Description with EfficientNet-B4 Visual Backbone
by: Anam, Rizal Khoirul
Published: (2025)
by: Anam, Rizal Khoirul
Published: (2025)
Deep Convolutional Neural Networks Meet Variational Shape Compactness Priors for Image Segmentation
by: Zhang, Kehui, et al.
Published: (2024)
by: Zhang, Kehui, et al.
Published: (2024)
MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results
by: He, Jiangpeng, et al.
Published: (2024)
by: He, Jiangpeng, et al.
Published: (2024)
Food Image Generation on Multi-Noun Categories
by: Pan, Xinyue, et al.
Published: (2025)
by: Pan, Xinyue, et al.
Published: (2025)
FoodTrack: Estimating Handheld Food Portions with Egocentric Video
by: Wang, Ervin, et al.
Published: (2025)
by: Wang, Ervin, et al.
Published: (2025)
Enhancing Trust in Clinically Significant Prostate Cancer Prediction with Multiple Magnetic Resonance Imaging Modalities
by: Ng, Benjamin, et al.
Published: (2024)
by: Ng, Benjamin, et al.
Published: (2024)
Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks
by: Patel, Neel, et al.
Published: (2024)
by: Patel, Neel, et al.
Published: (2024)
Training-Free Text-to-Image Compositional Food Generation via Prompt Grafting
by: Pan, Xinyue, et al.
Published: (2026)
by: Pan, Xinyue, et al.
Published: (2026)
Flow Equivariant Recurrent Neural Networks
by: Keller, T. Anderson
Published: (2025)
by: Keller, T. Anderson
Published: (2025)
NutrifyAI: An AI-Powered System for Real-Time Food Detection, Nutritional Analysis, and Personalized Meal Recommendations
by: Han, Michelle, et al.
Published: (2024)
by: Han, Michelle, et al.
Published: (2024)
PND-Net: Plant Nutrition Deficiency and Disease Classification using Graph Convolutional Network
by: Bera, Asish, et al.
Published: (2024)
by: Bera, Asish, et al.
Published: (2024)
DEFNet: Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment
by: Lou, Yiwei, et al.
Published: (2025)
by: Lou, Yiwei, et al.
Published: (2025)
Implications of Noise in Resistive Memory on Deep Neural Networks for Image Classification
by: Emonds, Yannick, et al.
Published: (2024)
by: Emonds, Yannick, et al.
Published: (2024)
EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning
by: Ju, Xuan, et al.
Published: (2025)
by: Ju, Xuan, et al.
Published: (2025)
DeepVerse: 4D Autoregressive Video Generation as a World Model
by: Chen, Junyi, et al.
Published: (2025)
by: Chen, Junyi, et al.
Published: (2025)
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis
by: Dutta, Soumya, et al.
Published: (2024)
by: Dutta, Soumya, et al.
Published: (2024)
Investigating the Impact of Large-Scale Pre-training on Nutritional Content Estimation from 2D Images
by: Andrade, Michele, et al.
Published: (2025)
by: Andrade, Michele, et al.
Published: (2025)
Optimizing Multitask Industrial Processes with Predictive Action Guidance
by: Mehta, Naval Kishore, et al.
Published: (2025)
by: Mehta, Naval Kishore, et al.
Published: (2025)
Exploring the Potentials of Spiking Neural Networks for Image Deraining
by: Chen, Shuang, et al.
Published: (2025)
by: Chen, Shuang, et al.
Published: (2025)
Zero-Shot Object Re-Identification in Egocentric Kitchen Videos via Multi-Stage SAM3 Feature Fusion
by: Klepachevskyi, Dmytro, et al.
Published: (2026)
by: Klepachevskyi, Dmytro, et al.
Published: (2026)
Similar Items
-
NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches
by: Tai, Chi-en Amy, et al.
Published: (2023) -
NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation
by: Tai, Chi-en Amy, et al.
Published: (2023) -
Improving Breast Cancer Grade Prediction with Multiparametric MRI Created Using Optimized Synthetic Correlated Diffusion Imaging
by: Tai, Chi-en Amy, et al.
Published: (2024) -
Using Multiparametric MRI with Optimized Synthetic Correlated Diffusion Imaging to Enhance Breast Cancer Pathologic Complete Response Prediction
by: Tai, Chi-en Amy, et al.
Published: (2024) -
Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer
by: Tai, Chi-en Amy, et al.
Published: (2024)