High-Resolution Image Reconstruction with Unsupervised Learning and Noisy Data Applied to Ion-Beam Dynamics for Particle Accelerators
Fuente:
arXiv
Saved in:
| Main Authors: | Osswald, Francis, Chahbaoui, Mohammed, Liang, Xinyi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhanced Emittance Evaluation using 2D Transverse Phase Space Distributions, High Resolution Image Denoising, and Deep Learning
by: Osswald, Francis René, et al.
Published: (2026)
by: Osswald, Francis René, et al.
Published: (2026)
Applying Unsupervised Semantic Segmentation to High-Resolution UAV Imagery for Enhanced Road Scene Parsing
by: Ma, Zihan, et al.
Published: (2024)
by: Ma, Zihan, et al.
Published: (2024)
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data
by: Im, Jiin, et al.
Published: (2024)
by: Im, Jiin, et al.
Published: (2024)
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
by: Jiang, Xi, et al.
Published: (2024)
by: Jiang, Xi, et al.
Published: (2024)
Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data
by: Liang, Chao, et al.
Published: (2025)
by: Liang, Chao, et al.
Published: (2025)
DDLP: Unsupervised Object-Centric Video Prediction with Deep Dynamic Latent Particles
by: Daniel, Tal, et al.
Published: (2023)
by: Daniel, Tal, et al.
Published: (2023)
Conformal-in-the-Loop for Learning with Imbalanced Noisy Data
by: Graham-Knight, John Brandon, et al.
Published: (2024)
by: Graham-Knight, John Brandon, et al.
Published: (2024)
Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images
by: Dionelis, Nikolaos, et al.
Published: (2024)
by: Dionelis, Nikolaos, et al.
Published: (2024)
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels
by: Hu, Chuanyang, et al.
Published: (2023)
by: Hu, Chuanyang, et al.
Published: (2023)
When the Small-Loss Trick is Not Enough: Multi-Label Image Classification with Noisy Labels Applied to CCTV Sewer Inspections
by: Chelouche, Keryan, et al.
Published: (2024)
by: Chelouche, Keryan, et al.
Published: (2024)
TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
by: Jung, Yoon Gyo, et al.
Published: (2025)
by: Jung, Yoon Gyo, et al.
Published: (2025)
Application of Deep Learning Methods to Processing of Noisy Medical Video Data
by: Afonchikov, Danil, et al.
Published: (2024)
by: Afonchikov, Danil, et al.
Published: (2024)
Prompt Learning for Oriented Power Transmission Tower Detection in High-Resolution SAR Images
by: Li, Tianyang, et al.
Published: (2024)
by: Li, Tianyang, et al.
Published: (2024)
ChronoSelect: Robust Learning with Noisy Labels via Dynamics Temporal Memory
by: Wang, Jianchao, et al.
Published: (2025)
by: Wang, Jianchao, et al.
Published: (2025)
Control Your View: High-Resolution Global Semantic Manipulation in Learned Image Compression
by: Liang, Jiaming, et al.
Published: (2026)
by: Liang, Jiaming, et al.
Published: (2026)
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning
by: Zhao, Rui, et al.
Published: (2024)
by: Zhao, Rui, et al.
Published: (2024)
Dual-granularity Sinkhorn Distillation for Enhanced Learning from Long-tailed Noisy Data
by: Hong, Feng, et al.
Published: (2025)
by: Hong, Feng, et al.
Published: (2025)
Atomic Depth Estimation From Noisy Electron Microscopy Data Via Deep Learning
by: Leibovich, Matan, et al.
Published: (2026)
by: Leibovich, Matan, et al.
Published: (2026)
On-Device Continual Learning for Unsupervised Visual Anomaly Detection in Dynamic Manufacturing
by: Ren, Haoyu, et al.
Published: (2025)
by: Ren, Haoyu, et al.
Published: (2025)
Combating Noisy Labels via Dynamic Connection Masking
by: Zhang, Xinlei, et al.
Published: (2025)
by: Zhang, Xinlei, et al.
Published: (2025)
Optimisation of SOUP-GAN and CSR-GAN for High Resolution MR Images Reconstruction
by: Rashid, Muneeba, et al.
Published: (2026)
by: Rashid, Muneeba, et al.
Published: (2026)
Active Learning with a Noisy Annotator
by: Shafir, Netta, et al.
Published: (2025)
by: Shafir, Netta, et al.
Published: (2025)
SiamMM: A Mixture Model Perspective on Deep Unsupervised Learning
by: Wang, Xiaodong, et al.
Published: (2025)
by: Wang, Xiaodong, et al.
Published: (2025)
Frequency-Aware Autoregressive Modeling for Efficient High-Resolution Image Synthesis
by: Chen, Zhuokun, et al.
Published: (2025)
by: Chen, Zhuokun, et al.
Published: (2025)
Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space
by: Pan, Linchao, et al.
Published: (2025)
by: Pan, Linchao, et al.
Published: (2025)
Conditional Denoising Diffusion Model-Based Robust MR Image Reconstruction from Highly Undersampled Data
by: Alsubaie, Mohammed, et al.
Published: (2025)
by: Alsubaie, Mohammed, et al.
Published: (2025)
MOFI: Learning Image Representations from Noisy Entity Annotated Images
by: Wu, Wentao, et al.
Published: (2023)
by: Wu, Wentao, et al.
Published: (2023)
DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization
by: Zhao, Yanpeng, et al.
Published: (2023)
by: Zhao, Yanpeng, et al.
Published: (2023)
The Role of Recurrency in Image Segmentation for Noisy and Limited Sample Settings
by: Calhas, David, et al.
Published: (2024)
by: Calhas, David, et al.
Published: (2024)
Rethinking Amortized Neural Representations for High-Resolution Terrain Elevation Data
by: Feng, Haoan, et al.
Published: (2026)
by: Feng, Haoan, et al.
Published: (2026)
Federated Learning with Instance-Dependent Noisy Label
by: Wang, Lei, et al.
Published: (2023)
by: Wang, Lei, et al.
Published: (2023)
Joint Asymmetric Loss for Learning with Noisy Labels
by: Wang, Jialiang, et al.
Published: (2025)
by: Wang, Jialiang, et al.
Published: (2025)
Foster Adaptivity and Balance in Learning with Noisy Labels
by: Sheng, Mengmeng, et al.
Published: (2024)
by: Sheng, Mengmeng, et al.
Published: (2024)
MGHF: Multi-Granular High-Frequency Perceptual Loss for Image Super-Resolution
by: Sami, Shoaib Meraj, et al.
Published: (2024)
by: Sami, Shoaib Meraj, et al.
Published: (2024)
ObitoNet: Multimodal High-Resolution Point Cloud Reconstruction
by: Thapliyal, Apoorv, et al.
Published: (2024)
by: Thapliyal, Apoorv, et al.
Published: (2024)
Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstruction
by: Lu, Yangdi, et al.
Published: (2024)
by: Lu, Yangdi, et al.
Published: (2024)
Deep Spatially-Regularized and Superpixel-Based Diffusion Learning for Unsupervised Hyperspectral Image Clustering
by: Buranasiri, Vutichart, et al.
Published: (2026)
by: Buranasiri, Vutichart, et al.
Published: (2026)
Toward Generalizable Whole Brain Representations with High-Resolution Light-Sheet Data
by: Kim, Minyoung E., et al.
Published: (2026)
by: Kim, Minyoung E., et al.
Published: (2026)
Probabilistic Machine Learning for Noisy Labels in Earth Observation
by: Kondylatos, Spyros, et al.
Published: (2025)
by: Kondylatos, Spyros, et al.
Published: (2025)
Learning from Noisy Labels with Contrastive Co-Transformer
by: Han, Yan, et al.
Published: (2025)
by: Han, Yan, et al.
Published: (2025)
Similar Items
-
Enhanced Emittance Evaluation using 2D Transverse Phase Space Distributions, High Resolution Image Denoising, and Deep Learning
by: Osswald, Francis René, et al.
Published: (2026) -
Applying Unsupervised Semantic Segmentation to High-Resolution UAV Imagery for Enhanced Road Scene Parsing
by: Ma, Zihan, et al.
Published: (2024) -
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data
by: Im, Jiin, et al.
Published: (2024) -
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
by: Jiang, Xi, et al.
Published: (2024) -
Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data
by: Liang, Chao, et al.
Published: (2025)