Copertina

On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Herbreteau, Sébastien, Kervrann, Charles
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	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

Towards a unified view of unsupervised non-local methods for image denoising: the NL-Ridge approach
di: Herbreteau, Sébastien, et al.
Pubblicazione: (2022)

A unified framework of non-local parametric methods for image denoising
di: Herbreteau, Sébastien, et al.
Pubblicazione: (2024)

Linear Combinations of Patches are Unreasonably Effective for Single-Image Denoising
di: Herbreteau, Sébastien, et al.
Pubblicazione: (2022)

Normalization-Equivariant Neural Networks with Application to Image Denoising
di: Herbreteau, Sébastien, et al.
Pubblicazione: (2023)

Self-supervised denoising of visual field data improves detection of glaucoma progression
di: Wu, Sean, et al.
Pubblicazione: (2024)

Self-supervised training of deep denoisers in multi-coil MRI considering noise correlations
di: Park, Juhyung, et al.
Pubblicazione: (2022)

Combining unsupervised and supervised learning in microscopy enables defect analysis of a full 4H-SiC wafer
di: Nguyen, Binh Duong, et al.
Pubblicazione: (2024)

Multi-task learning on partially labeled datasets via invariant/equivariant semi-supervised learning
di: Rabadán, Miquel Martí i, et al.
Pubblicazione: (2026)

A solvable generative model with a linear, one-step denoiser
di: Halder, Indranil
Pubblicazione: (2024)

Video alignment using unsupervised learning of local and global features
di: Fakhfour, Niloufar, et al.
Pubblicazione: (2023)

Self-Calibrated Variance-Stabilizing Transformations for Real-World Image Denoising
di: Herbreteau, Sébastien, et al.
Pubblicazione: (2024)

Robust multi-coil MRI reconstruction via self-supervised denoising
di: Aali, Asad, et al.
Pubblicazione: (2024)

Flopping for FLOPs: Leveraging equivariance for computational efficiency
di: Bökman, Georg, et al.
Pubblicazione: (2025)

Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling
di: Faye, Elhadji C., et al.
Pubblicazione: (2024)

SegMatch: A semi-supervised learning method for surgical instrument segmentation
di: Wei, Meng, et al.
Pubblicazione: (2023)

Voxel-wise classification for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural networks
di: Iuso, Domenico, et al.
Pubblicazione: (2023)

denoiSplit: a method for joint microscopy image splitting and unsupervised denoising
di: Ashesh, Ashesh, et al.
Pubblicazione: (2024)

Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks
di: Schlamowitz, Zachary, et al.
Pubblicazione: (2025)

Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences
di: Echegoyen, Carlos, et al.
Pubblicazione: (2022)

Systematic comparison of semi-supervised and self-supervised learning for medical image classification
di: Huang, Zhe, et al.
Pubblicazione: (2023)

Rigid Single-Slice-in-Volume registration via rotation-equivariant 2D/3D feature matching
di: Brandstätter, Stefan, et al.
Pubblicazione: (2024)

An unsupervised method for MRI recovery: Deep image prior with structured sparsity
di: Sultan, Muhammad Ahmad, et al.
Pubblicazione: (2025)

BRIDLE: Generalized Self-supervised Learning with Quantization
di: Nguyen, Hoang M., et al.
Pubblicazione: (2025)

A survey of synthetic data augmentation methods in computer vision
di: Mumuni, Alhassan, et al.
Pubblicazione: (2024)

Competing for pixels: a self-play algorithm for weakly-supervised segmentation
di: Saeed, Shaheer U., et al.
Pubblicazione: (2024)

Multi-Scale Texture Loss for CT denoising with GANs
di: Di Feola, Francesco, et al.
Pubblicazione: (2024)

Visualizing the loss landscape of Self-supervised Vision Transformer
di: Lee, Youngwan, et al.
Pubblicazione: (2024)

Self-supervised visual learning from interactions with objects
di: Aubret, Arthur, et al.
Pubblicazione: (2024)

Augmentation-aware Self-supervised Learning with Conditioned Projector
di: Przewięźlikowski, Marcin, et al.
Pubblicazione: (2023)

Mixed Autoencoder for Self-supervised Visual Representation Learning
di: Chen, Kai, et al.
Pubblicazione: (2023)

SOHES: Self-supervised Open-world Hierarchical Entity Segmentation
di: Cao, Shengcao, et al.
Pubblicazione: (2024)

Self-supervised Pretraining for Cardiovascular Magnetic Resonance Cine Segmentation
di: de Mooij, Rob A. J., et al.
Pubblicazione: (2024)

A supervised discriminant data representation: application to pattern classification
di: Dornaika, Fadi, et al.
Pubblicazione: (2025)

RelationMatch: Matching In-batch Relationships for Semi-supervised Learning
di: Zhang, Yifan, et al.
Pubblicazione: (2023)

Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
di: Roy, Shuvendu, et al.
Pubblicazione: (2023)

MRI2Qmap: multi-parametric quantitative mapping with MRI-driven denoising priors
di: Golbabaee, Mohammad, et al.
Pubblicazione: (2026)

Comparison of self-supervised in-domain and supervised out-domain transfer learning for bird species recognition
di: Ghaffari, Houtan, et al.
Pubblicazione: (2024)

Weakly Semi-supervised Tool Detection in Minimally Invasive Surgery Videos
di: Fujii, Ryo, et al.
Pubblicazione: (2024)

Do not trust what you trust: Miscalibration in Semi-supervised Learning
di: Mishra, Shambhavi, et al.
Pubblicazione: (2024)

Predicting Stroke through Retinal Graphs and Multimodal Self-supervised Learning
di: Huang, Yuqing, et al.
Pubblicazione: (2024)