Saved in:
| Main Authors: | Kerim, Abdulrahman, Marcolino, Leandro Soriano, Nascimento, Erickson R., Jiang, Richard |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.05466 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research
by: Khosravi, Bardia, et al.
Published: (2023)
by: Khosravi, Bardia, et al.
Published: (2023)
When Exploration Comes for Free with Mixture-Greedy: Do we need UCB in Diversity-Aware Multi-Armed Bandits?
by: Nia, Bahar Dibaei, et al.
Published: (2026)
by: Nia, Bahar Dibaei, et al.
Published: (2026)
Synthetic Data Augmentation for Multi-Task Chinese Porcelain Classification: A Stable Diffusion Approach
by: Ling, Ziyao, et al.
Published: (2026)
by: Ling, Ziyao, et al.
Published: (2026)
Rethinking Encoder-Decoder Flow Through Shared Structures
by: Laboyrie, Frederik, et al.
Published: (2025)
by: Laboyrie, Frederik, et al.
Published: (2025)
Calibrated Adversarial Sampling: Multi-Armed Bandit-Guided Generalization Against Unforeseen Attacks
by: Wang, Rui, et al.
Published: (2025)
by: Wang, Rui, et al.
Published: (2025)
Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion Training
by: Choi, Yujin, et al.
Published: (2024)
by: Choi, Yujin, et al.
Published: (2024)
Training-Free Synthetic Data Generation with Dual IP-Adapter Guidance
by: Boudier, Luc, et al.
Published: (2025)
by: Boudier, Luc, et al.
Published: (2025)
Regularizing cross entropy loss via minimum entropy and K-L divergence
by: Ibraheem, Abdulrahman Oladipupo
Published: (2025)
by: Ibraheem, Abdulrahman Oladipupo
Published: (2025)
Investigation of the Impact of Synthetic Training Data in the Industrial Application of Terminal Strip Object Detection
by: Baumgart, Nico, et al.
Published: (2024)
by: Baumgart, Nico, et al.
Published: (2024)
Improved Multi-Task Brain Tumour Segmentation with Synthetic Data Augmentation
by: Ferreira, André, et al.
Published: (2024)
by: Ferreira, André, et al.
Published: (2024)
Transcoda: End-to-End Zero-Shot Optical Music Recognition via Data-Centric Synthetic Training
by: Dratschuk, Daniel, et al.
Published: (2026)
by: Dratschuk, Daniel, et al.
Published: (2026)
Augmented Conditioning Is Enough For Effective Training Image Generation
by: Chen, Jiahui, et al.
Published: (2025)
by: Chen, Jiahui, et al.
Published: (2025)
Progressive Data Dropout: An Embarrassingly Simple Approach to Faster Training
by: Sathiyanarayanan, Shriram M, et al.
Published: (2025)
by: Sathiyanarayanan, Shriram M, et al.
Published: (2025)
Generating Multi-Image Synthetic Data for Text-to-Image Customization
by: Kumari, Nupur, et al.
Published: (2025)
by: Kumari, Nupur, et al.
Published: (2025)
Adaptive Data Augmentation with Multi-armed Bandit: Sample-Efficient Embedding Calibration for Implicit Pattern Recognition
by: Tang, Minxue, et al.
Published: (2026)
by: Tang, Minxue, et al.
Published: (2026)
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
by: Fu, Stephanie, et al.
Published: (2023)
by: Fu, Stephanie, et al.
Published: (2023)
Exploring the Potential of Synthetic Data to Replace Real Data
by: Lee, Hyungtae, et al.
Published: (2024)
by: Lee, Hyungtae, et al.
Published: (2024)
On the Equivalency, Substitutability, and Flexibility of Synthetic Data
by: Chang, Che-Jui, et al.
Published: (2024)
by: Chang, Che-Jui, et al.
Published: (2024)
Synthetic Data for Robust Runway Detection
by: Chigot, Estelle, et al.
Published: (2025)
by: Chigot, Estelle, et al.
Published: (2025)
Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification
by: Zyblewski, Paweł, et al.
Published: (2024)
by: Zyblewski, Paweł, et al.
Published: (2024)
Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image Detection
by: Otake, Hina, et al.
Published: (2024)
by: Otake, Hina, et al.
Published: (2024)
SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems
by: Ye-Bin, Moon, et al.
Published: (2023)
by: Ye-Bin, Moon, et al.
Published: (2023)
Drone Detection using Deep Neural Networks Trained on Pure Synthetic Data
by: Wisniewski, Mariusz, et al.
Published: (2024)
by: Wisniewski, Mariusz, et al.
Published: (2024)
GANsemble for Small and Imbalanced Data Sets: A Baseline for Synthetic Microplastics Data
by: Platnick, Daniel, et al.
Published: (2024)
by: Platnick, Daniel, et al.
Published: (2024)
SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset
by: Mehr, Goodarz, et al.
Published: (2025)
by: Mehr, Goodarz, et al.
Published: (2025)
Training a Computer Vision Model for Commercial Bakeries with Primarily Synthetic Images
by: Schmitt, Thomas H., et al.
Published: (2024)
by: Schmitt, Thomas H., et al.
Published: (2024)
BATR-FST: Bi-Level Adaptive Token Refinement for Few-Shot Transformers
by: Al-Habib, Mohammed, et al.
Published: (2025)
by: Al-Habib, Mohammed, et al.
Published: (2025)
Dealing with Synthetic Data Contamination in Online Continual Learning
by: Wang, Maorong, et al.
Published: (2024)
by: Wang, Maorong, et al.
Published: (2024)
PolyGen: Fully Synthetic Vision-Language Training via Multi-Generator Ensembles
by: Brusini, Leonardo, et al.
Published: (2026)
by: Brusini, Leonardo, et al.
Published: (2026)
Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions
by: Lieberman, Kelsey, et al.
Published: (2024)
by: Lieberman, Kelsey, et al.
Published: (2024)
Neurovascular Segmentation in sOCT with Deep Learning and Synthetic Training Data
by: Chollet, Etienne, et al.
Published: (2024)
by: Chollet, Etienne, et al.
Published: (2024)
Explainable YOLO-Based Dyslexia Detection in Synthetic Handwriting Data
by: Fink, Nora
Published: (2025)
by: Fink, Nora
Published: (2025)
HandCraft: Dynamic Sign Generation for Synthetic Data Augmentation
by: Rios, Gaston Gustavo, et al.
Published: (2025)
by: Rios, Gaston Gustavo, et al.
Published: (2025)
Position Paper: Building Trust in Synthetic Data for Clinical AI
by: Babu, Krishan Agyakari Raja, et al.
Published: (2025)
by: Babu, Krishan Agyakari Raja, et al.
Published: (2025)
Provably Improving Generalization of Few-Shot Models with Synthetic Data
by: Nguyen, Lan-Cuong, et al.
Published: (2025)
by: Nguyen, Lan-Cuong, et al.
Published: (2025)
Synthetic Data is an Elegant GIFT for Continual Vision-Language Models
by: Wu, Bin, et al.
Published: (2025)
by: Wu, Bin, et al.
Published: (2025)
Reliability in Semantic Segmentation: Can We Use Synthetic Data?
by: Loiseau, Thibaut, et al.
Published: (2023)
by: Loiseau, Thibaut, et al.
Published: (2023)
Scalability in Building Component Data Annotation: Enhancing Facade Material Classification with Synthetic Data
by: Harrison, Josie, et al.
Published: (2024)
by: Harrison, Josie, et al.
Published: (2024)
Achieving 3D Attention via Triplet Squeeze and Excitation Block
by: Alhazmi, Maan, et al.
Published: (2025)
by: Alhazmi, Maan, et al.
Published: (2025)
Learning to Rebalance Multi-Modal Optimization by Adaptively Masking Subnetworks
by: Yang, Yang, et al.
Published: (2024)
by: Yang, Yang, et al.
Published: (2024)
Similar Items
-
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research
by: Khosravi, Bardia, et al.
Published: (2023) -
When Exploration Comes for Free with Mixture-Greedy: Do we need UCB in Diversity-Aware Multi-Armed Bandits?
by: Nia, Bahar Dibaei, et al.
Published: (2026) -
Synthetic Data Augmentation for Multi-Task Chinese Porcelain Classification: A Stable Diffusion Approach
by: Ling, Ziyao, et al.
Published: (2026) -
Rethinking Encoder-Decoder Flow Through Shared Structures
by: Laboyrie, Frederik, et al.
Published: (2025) -
Calibrated Adversarial Sampling: Multi-Armed Bandit-Guided Generalization Against Unforeseen Attacks
by: Wang, Rui, et al.
Published: (2025)