Image de couverture de livre

Scalable Evaluation of the Realism of Synthetic Environmental Augmentations in Images

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ruck, Damian J., Vautravers, Paul, Chalkley, Oliver, Thomas, Jake
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Evaluation and Comparison of Emotionally Evocative Image Augmentation Methods
par: Ignatowicz, Jan, et autres
Publié: (2024)

Enhancing Image Classification in Small and Unbalanced Datasets through Synthetic Data Augmentation
par: De La Fuente, Neil, et autres
Publié: (2024)

SynDaCaTE: A Synthetic Dataset For Evaluating Part-Whole Hierarchical Inference
par: Levi, Jake, et autres
Publié: (2025)

AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images
par: Chattopadhyay, Prithvijit, et autres
Publié: (2023)

Using Synthetic Images to Augment Small Medical Image Datasets
par: Vu, Minh H., et autres
Publié: (2025)

Do We Need All the Synthetic Data? Targeted Image Augmentation via Diffusion Models
par: Nguyen, Dang, et autres
Publié: (2025)

Synthetic Melanoma Image Generation and Evaluation Using Generative Adversarial Networks
par: Lin, Pei-Yu, et autres
Publié: (2026)

Visual Car Brand Classification by Implementing a Synthetic Image Dataset Creation Pipeline
par: Lippemeier, Jan, et autres
Publié: (2024)

Stylized Synthetic Augmentation further improves Corruption Robustness
par: Siedel, Georg, et autres
Publié: (2025)

RealDeal: Enhancing Realism and Details in Brain Image Generation via Image-to-Image Diffusion Models
par: Zhu, Shen, et autres
Publié: (2025)

Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research
par: Khosravi, Bardia, et autres
Publié: (2023)

Boundary-Constrained Diffusion Models for Floorplan Generation: Balancing Realism and Diversity
par: Stoppani, Leonardo, et autres
Publié: (2026)

HandCraft: Dynamic Sign Generation for Synthetic Data Augmentation
par: Rios, Gaston Gustavo, et autres
Publié: (2025)

Training a Computer Vision Model for Commercial Bakeries with Primarily Synthetic Images
par: Schmitt, Thomas H., et autres
Publié: (2024)

Structuring a Training Strategy to Robustify Perception Models with Realistic Image Augmentations
par: Hammam, Ahmed, et autres
Publié: (2024)

Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification
par: Huseljic, Denis, et autres
Publié: (2024)

Improved Multi-Task Brain Tumour Segmentation with Synthetic Data Augmentation
par: Ferreira, André, et autres
Publié: (2024)

RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
par: Zhang, Xinchen, et autres
Publié: (2024)

Scalability in Building Component Data Annotation: Enhancing Facade Material Classification with Synthetic Data
par: Harrison, Josie, et autres
Publié: (2024)

Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image Detection
par: Otake, Hina, et autres
Publié: (2024)

Synthetic Data Augmentation for Multi-Task Chinese Porcelain Classification: A Stable Diffusion Approach
par: Ling, Ziyao, et autres
Publié: (2026)

Realistic Evaluation of Test-Time Adaptation Algorithms: Unsupervised Hyperparameter Selection
par: Cygert, Sebastian, et autres
Publié: (2024)

Post-hoc Selective Classification for Reliable Synthetic Image Detection
par: Zheng, Kaixiang, et autres
Publié: (2026)

NodMAISI: Nodule-Oriented Medical AI for Synthetic Imaging
par: Tushar, Fakrul Islam, et autres
Publié: (2025)

StableSemantics: A Synthetic Language-Vision Dataset of Semantic Representations in Naturalistic Images
par: Zawar, Rushikesh, et autres
Publié: (2024)

Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification
par: Vaish, Puru, et autres
Publié: (2024)

Denoised Diffusion for Object-Focused Image Augmentation
par: Pillai, Nisha
Publié: (2025)

From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition
par: Qraitem, Maan, et autres
Publié: (2023)

LGQ: Learning Discretization Geometry for Scalable and Stable Image Tokenization
par: Altun, Idil Bilge, et autres
Publié: (2026)

LoFi: Neural Local Fields for Scalable Image Reconstruction
par: Khorashadizadeh, AmirEhsan, et autres
Publié: (2024)

DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation
par: Gu, Jiatao, et autres
Publié: (2024)

Synthetic Cardiac MRI Image Generation using Deep Generative Models
par: Kumarasinghe, Ishan, et autres
Publié: (2026)

ImagiNet: A Multi-Content Benchmark for Synthetic Image Detection
par: Boychev, Delyan, et autres
Publié: (2024)

Improved Generation of Synthetic Imaging Data Using Feature-Aligned Diffusion
par: Nair, Lakshmi
Publié: (2024)

Synthetic Medical Imaging Generation with Generative Adversarial Networks For Plain Radiographs
par: McNulty, John R., et autres
Publié: (2024)

Walnut Detection Through Deep Learning Enhanced by Multispectral Synthetic Images
par: Fu, Kaiming, et autres
Publié: (2023)

Synthetic Data for Robust Runway Detection
par: Chigot, Estelle, et autres
Publié: (2025)

Evaluation of Data Augmentation and Loss Functions in Semantic Image Segmentation for Drilling Tool Wear Detection
par: Schlager, Elke, et autres
Publié: (2023)

Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification
par: Li, Bohan, et autres
Publié: (2023)

Generating Multi-Image Synthetic Data for Text-to-Image Customization
par: Kumari, Nupur, et autres
Publié: (2025)