Cover Image

Bridging the Simulation-to-Reality Gap in Electron Microscope Calibration via VAE-EM Estimation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	van Hulst, Jilles S., Heemels, W. P. M. H., Antunes, Duarte J.
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hidden in Plain Sight -- Class Competition Focuses Attribution Maps
by: Walter, Nils Philipp, et al.
Published: (2025)

SepVAE: a contrastive VAE to separate pathological patterns from healthy ones
by: Louiset, Robin, et al.
Published: (2023)

SFTok: Bridging the Performance Gap in Discrete Tokenizers
by: Rao, Qihang, et al.
Published: (2025)

Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation
by: Yuan, Shen, et al.
Published: (2024)

Quantize-then-Rectify: Efficient VQ-VAE Training
by: Zhang, Borui, et al.
Published: (2025)

Bridge the Modality and Capability Gaps in Vision-Language Model Selection
by: Yi, Chao, et al.
Published: (2024)

Bridging the Gap: Protocol Towards Fair and Consistent Affect Analysis
by: Hu, Guanyu, et al.
Published: (2024)

Age-Diverse Deepfake Dataset: Bridging the Age Gap in Deepfake Detection
by: Joshi, Unisha
Published: (2025)

MITA: Bridging the Gap between Model and Data for Test-time Adaptation
by: Yuan, Yige, et al.
Published: (2024)

SEM-CLIP: Precise Few-Shot Learning for Nanoscale Defect Detection in Scanning Electron Microscope Image
by: Jin, Qian, et al.
Published: (2025)

PCA-VAE: Differentiable Subspace Quantization without Codebook Collapse
by: Lu, Hao, et al.
Published: (2026)

Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning
by: Ye, Bo, et al.
Published: (2023)

The MixCount Dataset: Bridging the Data Gap for Open-Vocabulary Object Counting
by: Dumery, Corentin, et al.
Published: (2026)

HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE
by: Wei, Zikai, et al.
Published: (2023)

DeCo-VAE: Learning Compact Latents for Video Reconstruction via Decoupled Representation
by: Yin, Xiangchen, et al.
Published: (2025)

LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
by: Sadat, Seyedmorteza, et al.
Published: (2024)

EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders
by: Baykal, Gulcin, et al.
Published: (2023)

L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation
by: Ozcan, Hazal Mogultay, et al.
Published: (2025)

LILAC: Long-sequence Incremental Low-latency Arbitrary Motion Stylization via Streaming VAE-Diffusion with Causal Decoding
by: Ren, Peng, et al.
Published: (2025)

Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets
by: Ma, Yongpei, et al.
Published: (2025)

Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification
by: Vaish, Puru, et al.
Published: (2024)

Bridging Generative and Discriminative Noisy-Label Learning via Direction-Agnostic EM Formulation
by: Liu, Fengbei, et al.
Published: (2023)

REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers
by: Leng, Xingjian, et al.
Published: (2025)

Beta-Sigma VAE: Separating beta and decoder variance in Gaussian variational autoencoder
by: Kim, Seunghwan, et al.
Published: (2024)

Bridging GANs and Bayesian Neural Networks via Partial Stochasticity
by: Filippone, Maurizio, et al.
Published: (2025)

Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy
by: Penso, Coby, et al.
Published: (2024)

VFM-VAE: Vision Foundation Models Can Be Good Tokenizers for Latent Diffusion Models
by: Bi, Tianci, et al.
Published: (2025)

Closed-Loop Unsupervised Representation Disentanglement with $β$-VAE Distillation and Diffusion Probabilistic Feedback
by: Jin, Xin, et al.
Published: (2024)

VAE-QWGAN: Addressing Mode Collapse in Quantum GANs via Autoencoding Priors
by: Thomas, Aaron Mark, et al.
Published: (2024)

Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation
by: Zhang, Zhe, et al.
Published: (2026)

Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization
by: Enomoto, Shohei
Published: (2025)

Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-Label Classification
by: Wang, Zitai, et al.
Published: (2024)

VIVAT: Virtuous Improving VAE Training through Artifact Mitigation
by: Novitskiy, Lev, et al.
Published: (2025)

SVGFusion: A VAE-Diffusion Transformer for Vector Graphic Generation
by: Xing, Ximing, et al.
Published: (2024)

The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations
by: Haselhoff, Anselm, et al.
Published: (2024)

CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement
by: Ma, Chenrui, et al.
Published: (2025)

Improved Anomaly Detection through Conditional Latent Space VAE Ensembles
by: Åström, Oskar, et al.
Published: (2024)

Calibrated and Efficient Sampling-Free Confidence Estimation for LiDAR Scene Semantic Segmentation
by: Miandashti, Hanieh Shojaei, et al.
Published: (2024)

Graph Attention Neural Network for Botnet Detection: Evaluating Autoencoder, VAE and PCA-Based Dimension Reduction
by: Wasswa, Hassan, et al.
Published: (2025)

VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE
by: Yu, Haonan, et al.
Published: (2024)