Copertina

Self-STORM: Deep Unrolled Self-Supervised Learning for Super-Resolution Microscopy

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sahel, Yair Ben, Eldar, Yonina C.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Deep Internal Learning: Deep Learning from a Single Input
di: Tirer, Tom, et al.
Pubblicazione: (2023)

A Survey of Deep Learning Video Super-Resolution
di: Baniya, Arbind Agrahari, et al.
Pubblicazione: (2025)

Self-Supervised MRI Reconstruction with Unrolled Diffusion Models
di: Korkmaz, Yilmaz, et al.
Pubblicazione: (2023)

Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite Imagery
di: Bourcier, Jules, et al.
Pubblicazione: (2022)

SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution
di: Belharbi, Soufiane, et al.
Pubblicazione: (2024)

Exploiting Self-Supervised Constraints in Image Super-Resolution
di: Wu, Gang, et al.
Pubblicazione: (2024)

Towards Fingerprint Mosaicking Artifact Detection: A Self-Supervised Deep Learning Approach
di: Ruzicka, Laurenz, et al.
Pubblicazione: (2025)

Scale-Equivariant Imaging: Self-Supervised Learning for Image Super-Resolution and Deblurring
di: Scanvic, Jérémy, et al.
Pubblicazione: (2023)

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution
di: Zhang, Yuehan, et al.
Pubblicazione: (2024)

Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks
di: Patel, Neel, et al.
Pubblicazione: (2024)

Self-Supervised Denoiser Framework
di: Valat, Emilien, et al.
Pubblicazione: (2024)

Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
di: Chen, Haoyu, et al.
Pubblicazione: (2024)

Unpaired MRI Super Resolution with Contrastive Learning
di: Li, Hao, et al.
Pubblicazione: (2023)

Learning to Recorrupt: Noise Distribution Agnostic Self-Supervised Image Denoising
di: Monroy, Brayan, et al.
Pubblicazione: (2026)

DABS-LS: Deep Atlas-Based Segmentation Using Regional Level Set Self-Supervision
di: Mason, Hannah G., et al.
Pubblicazione: (2024)

Unsupervised Hyperspectral Image Super-Resolution via Self-Supervised Modality Decoupling
di: Du, Songcheng, et al.
Pubblicazione: (2024)

Deep Learning based Optical Image Super-Resolution via Generative Diffusion Models for Layerwise in-situ LPBF Monitoring
di: Ogoke, Francis, et al.
Pubblicazione: (2024)

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction
di: Chen, Gaofeng, et al.
Pubblicazione: (2024)

Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems
di: Chen, Eric, et al.
Pubblicazione: (2025)

Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution
di: Chen, Wenting, et al.
Pubblicazione: (2024)

TV-based Deep 3D Self Super-Resolution for fMRI
di: Pérez-Bueno, Fernando, et al.
Pubblicazione: (2024)

Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors
di: Do, Tam Thuc, et al.
Pubblicazione: (2024)

Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization
di: Liang, Shijun, et al.
Pubblicazione: (2024)

Osteoporosis Prediction from Hand X-ray Images Using Segmentation-for-Classification and Self-Supervised Learning
di: Hwang, Ung, et al.
Pubblicazione: (2024)

SpecBPP: A Self-Supervised Learning Approach for Hyperspectral Representation and Soil Organic Carbon Estimation
di: Ayuba, Daniel La'ah, et al.
Pubblicazione: (2025)

A Lightweight Image Super-Resolution Transformer Trained on Low-Resolution Images Only
di: Möller, Björn, et al.
Pubblicazione: (2025)

DVMSR: Distillated Vision Mamba for Efficient Super-Resolution
di: Lei, Xiaoyan, et al.
Pubblicazione: (2024)

Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances
di: Moser, Brian, et al.
Pubblicazione: (2022)

An Optimal Transport Perspective on Unpaired Image Super-Resolution
di: Gazdieva, Milena, et al.
Pubblicazione: (2022)

DiffDenoise: Self-Supervised Medical Image Denoising with Conditional Diffusion Models
di: Demir, Basar, et al.
Pubblicazione: (2025)

SpectraLift: Physics-Guided Spectral-Inversion Network for Self-Supervised Hyperspectral Image Super-Resolution
di: Shah, Ritik, et al.
Pubblicazione: (2025)

Scale-Cascaded Diffusion Models for Super-Resolution in Medical Imaging
di: Thaker, Darshan, et al.
Pubblicazione: (2026)

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution
di: Wang, Xufei, et al.
Pubblicazione: (2025)

Infrared Image Super-Resolution: Systematic Review, and Future Trends
di: Huang, Yongsong, et al.
Pubblicazione: (2022)

Very High-Resolution Forest Mapping with TanDEM-X InSAR Data and Self-Supervised Learning
di: Bueso-Bello, José-Luis, et al.
Pubblicazione: (2025)

SSVT: Self-Supervised Vision Transformer For Eye Disease Diagnosis Based On Fundus Images
di: Wang, Jiaqi, et al.
Pubblicazione: (2024)

Blind Ultrasound Image Enhancement via Self-Supervised Physics-Guided Degradation Modeling
di: Khan, Shujaat, et al.
Pubblicazione: (2026)

Event-Stream Super Resolution using Sigma-Delta Neural Network
di: Shariff, Waseem, et al.
Pubblicazione: (2024)

Lung Nodule-SSM: Self-Supervised Lung Nodule Detection and Classification in Thoracic CT Images
di: Noreen, Muniba, et al.
Pubblicazione: (2025)

Deep learning based Image Compression for Microscopy Images: An Empirical Study
di: Zhou, Yu, et al.
Pubblicazione: (2023)