Copertina

Interpretable Similarity of Synthetic Image Utility

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gatoula, Panagiota, Dimas, George, Iakovidis, Dimitris K.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

This Intestine Does Not Exist: Multiscale Residual Variational Autoencoder for Realistic Wireless Capsule Endoscopy Image Generation
di: Diamantis, Dimitrios E., et al.
Pubblicazione: (2023)

E Pluribus Unum Interpretable Convolutional Neural Networks
di: Dimas, George, et al.
Pubblicazione: (2022)

MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning and Entropy-based Scoring
di: Cholopoulou, Eirini, et al.
Pubblicazione: (2024)

Intuitionistic Fuzzy Cognitive Maps for Interpretable Image Classification
di: Sovatzidi, Georgia, et al.
Pubblicazione: (2024)

Multiscale Vector-Quantized Variational Autoencoder for Endoscopic Image Synthesis
di: Diamantis, Dimitrios E., et al.
Pubblicazione: (2025)

Leveraging Unlabeled Scans for NCCT Image Segmentation in Early Stroke Diagnosis: A Semi-Supervised GAN Approach
di: Thoma, Maria, et al.
Pubblicazione: (2025)

ResNet-50 with Class Reweighting and Anatomy-Guided Temporal Decoding for Gastrointestinal Video Analysis
di: Imtiaz, Romil, et al.
Pubblicazione: (2026)

Soft-Hard Attention U-Net Model and Benchmark Dataset for Multiscale Image Shadow Removal
di: Cholopoulou, Eirini, et al.
Pubblicazione: (2024)

Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy
di: Gatoula, Panagiota, et al.
Pubblicazione: (2024)

Increasing the Utility of Synthetic Images through Chamfer Guidance
di: Dall'Asen, Nicola, et al.
Pubblicazione: (2025)

Synthetic Similarity Search in Automotive Production
di: Huber, Christoph, et al.
Pubblicazione: (2025)

AquaCluster: Using Satellite Images And Self-supervised Machine Learning Networks To Detect Water Hidden Under Vegetation
di: Iakovidis, Ioannis, et al.
Pubblicazione: (2025)

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation
di: Chung, Yunsung, et al.
Pubblicazione: (2025)

Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation
di: Howlader, Prantik, et al.
Pubblicazione: (2024)

SIC: Similarity-Based Interpretable Image Classification with Neural Networks
di: Wolf, Tom Nuno, et al.
Pubblicazione: (2025)

Technical Report for the 5th CLVision Challenge at CVPR: Addressing the Class-Incremental with Repetition using Unlabeled Data -- 4th Place Solution
di: Moraiti, Panagiota, et al.
Pubblicazione: (2025)

Structured Uncertainty Similarity Score (SUSS): Learning a Probabilistic, Interpretable, Perceptual Metric Between Images
di: Seidler, Paula, et al.
Pubblicazione: (2025)

Interpretable Vision Transformers in Image Classification via SVDA
di: Arampatzakis, Vasileios, et al.
Pubblicazione: (2026)

Fast and Interpretable 2D Homography Decomposition: Similarity-Kernel-Similarity and Affine-Core-Affine Transformations
di: Cai, Shen, et al.
Pubblicazione: (2024)

ScribbleEdit: Synthetic Data for Image Editing with Scribbles and Text
di: Ji, Anya, et al.
Pubblicazione: (2026)

CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographs
di: Dutt, Raman, et al.
Pubblicazione: (2025)

MonoLoss: A Training Objective for Interpretable Monosemantic Representations
di: Nasiri-Sarvi, Ali, et al.
Pubblicazione: (2026)

Similarity-as-Evidence: Calibrating Overconfident VLMs for Interpretable and Label-Efficient Medical Active Learning
di: Xie, Zhuofan, et al.
Pubblicazione: (2026)

Descriptive Image-Text Matching with Graded Contextual Similarity
di: Jang, Jinhyun, et al.
Pubblicazione: (2025)

Image Similarity using An Ensemble of Context-Sensitive Models
di: Liao, Zukang, et al.
Pubblicazione: (2024)

Enhancing Domain Diversity in Synthetic Data Face Recognition with Dataset Fusion
di: George, Anjith, et al.
Pubblicazione: (2025)

Discriminative Span as a Predictor of Synthetic Data Utility via Classifier Reconstruction
di: Desai, Radhika Amar, et al.
Pubblicazione: (2026)

Benchmarking Image Similarity Metrics for Novel View Synthesis Applications
di: Wickrema, Charith, et al.
Pubblicazione: (2025)

SPAN: Learning Similarity between Scene Graphs and Images with Transformers
di: Cong, Yuren, et al.
Pubblicazione: (2023)

GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity
di: Cao, Shuo, et al.
Pubblicazione: (2024)

Importance-Based Token Merging for Efficient Image and Video Generation
di: Wu, Haoyu, et al.
Pubblicazione: (2024)

Harnessing Diffusion-Generated Synthetic Images for Fair Image Classification
di: Basu, Abhipsa, et al.
Pubblicazione: (2025)

Zero in on Shape: A Generic 2D-3D Instance Similarity Metric learned from Synthetic Data
di: Janik, Maciej, et al.
Pubblicazione: (2021)

Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images
di: Singh, Krishnakant, et al.
Pubblicazione: (2024)

Online Sparse Synthetic Aperture Radar Imaging
di: Flynn, Conor, et al.
Pubblicazione: (2026)

Improving Text Generation on Images with Synthetic Captions
di: Koh, Jun Young, et al.
Pubblicazione: (2024)

Similarity Memory Prior is All You Need for Medical Image Segmentation
di: Tang, Hao, et al.
Pubblicazione: (2025)

Pre-trained Models Succeed in Medical Imaging with Representation Similarity Degradation
di: Zu, Wenqiang, et al.
Pubblicazione: (2025)

Pairwise Similarity Regularization for Semi-supervised Graph Medical Image Segmentation
di: Zhou, Jialu, et al.
Pubblicazione: (2025)

Cross-Dataset Linkage of Brain MRI using Image Similarity Measures
di: Sharma, Gaurang, et al.
Pubblicazione: (2026)