Cover Image

Anomaly Detection in Automated Fibre Placement: Learning with Data Limitations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ghamisi, Assef, Charter, Todd, Ji, Li, Rivard, Maxime, Lund, Gil, Najjaran, Homayoun
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Flight to Insight: Semantic 3D Reconstruction for Aerial Inspection via Gaussian Splatting and Language-Guided Segmentation
by: Zaouali, Mahmoud Chick, et al.
Published: (2025)

Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification
by: Fayyad, Jamil, et al.
Published: (2023)

LesionGen: A Concept-Guided Diffusion Model for Dermatology Image Synthesis
by: Fayyad, Jamil, et al.
Published: (2025)

Domain Adaptive Skin Lesion Classification via Conformal Ensemble of Vision Transformers
by: Zoravar, Mehran, et al.
Published: (2025)

Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models
by: Yu, Weikang, et al.
Published: (2023)

An Improved Anomaly Detection Model for Automated Inspection of Power Line Insulators
by: Das, Laya, et al.
Published: (2023)

BMAD: Benchmarks for Medical Anomaly Detection
by: Bao, Jinan, et al.
Published: (2023)

HDMba: Hyperspectral Remote Sensing Imagery Dehazing with State Space Model
by: Fu, Hang, et al.
Published: (2024)

Sequential Hard Mining: a data-centric approach for Mitosis Detection
by: Lafarge, Maxime W., et al.
Published: (2025)

Deep Learning-Based Brain Image Segmentation for Automated Tumour Detection
by: Sourabh, Suman, et al.
Published: (2024)

CNN-ViT Hybrid for Pneumonia Detection: Theory and Empiric on Limited Data without Pretraining
by: Basnet, Prashant Singh, et al.
Published: (2025)

Self-Supervised Masked Mesh Learning for Unsupervised Anomaly Detection on 3D Cortical Surfaces
by: Yang, Hao-Chun, et al.
Published: (2024)

Classifier Enhanced Deep Learning Model for Erythroblast Differentiation with Limited Data
by: Goswami, Buddhadev, et al.
Published: (2024)

Variational Autoencoder for Anomaly Detection: A Comparative Study
by: Nguyen, Huy Hoang, et al.
Published: (2024)

Quantitative Benchmarking of Anomaly Detection Methods in Digital Pathology
by: Cui, Can, et al.
Published: (2025)

MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection
by: Beizaee, Farzad, et al.
Published: (2025)

DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection
by: Marimont, Sergio Naval, et al.
Published: (2023)

Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images
by: Fontanella, Alessandro, et al.
Published: (2023)

Segmenting Medical Images with Limited Data
by: Liua, Zhaoshan, et al.
Published: (2024)

MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection
by: Chen, Junzhuo, et al.
Published: (2024)

Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models
by: Olsen, Markus Ditlev Sjøgren, et al.
Published: (2024)

Overcoming the Identity Mapping Problem in Self-Supervised Hyperspectral Anomaly Detection
by: Cui, Yongchuan, et al.
Published: (2025)

Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks
by: Bougaham, Arnaud, et al.
Published: (2023)

Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection
by: Wolleb, Julia, et al.
Published: (2024)

Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis
by: Wang, Jiamu, et al.
Published: (2025)

Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images
by: Xiang, Tiange, et al.
Published: (2024)

DINO-AD: Unsupervised Anomaly Detection with Frozen DINO-V3 Features
by: Huo, Jiayu, et al.
Published: (2026)

Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective
by: Pan, Zixuan, et al.
Published: (2024)

Detection of Emerging Infectious Diseases in Lung CT based on Spatial Anomaly Patterns
by: Mitic, Branko, et al.
Published: (2024)

Risk-Sensitive Conformal Prediction for Catheter Placement Detection in Chest X-rays
by: Hui, Long
Published: (2025)

U2AD: Uncertainty-based Unsupervised Anomaly Detection Framework for Detecting T2 Hyperintensity in MRI Spinal Cord
by: Zhang, Qi, et al.
Published: (2025)

Tau Anomaly Detection in PET Imaging via Bilateral-Guided Deterministic Diffusion Model
by: Zhong, Lujia, et al.
Published: (2024)

ERX: A Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line Scanning
by: Garske, Samuel, et al.
Published: (2024)

MAEDiff: Masked Autoencoder-enhanced Diffusion Models for Unsupervised Anomaly Detection in Brain Images
by: Xu, Rui, et al.
Published: (2024)

Limitations of Data-Driven Spectral Reconstruction -- An Optics-Aware Analysis
by: Fu, Qiang, et al.
Published: (2024)

Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping
by: Yang, Hao-Chun, et al.
Published: (2023)

Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
by: Zhang, Zerui, et al.
Published: (2024)

Synomaly Noise and Multi-Stage Diffusion: A Novel Approach for Unsupervised Anomaly Detection in Medical Images
by: Bi, Yuan, et al.
Published: (2024)

Dr-SAM: An End-to-End Framework for Vascular Segmentation, Diameter Estimation, and Anomaly Detection on Angiography Images
by: Zohranyan, Vazgen, et al.
Published: (2024)

White Light Specular Reflection Data Augmentation for Deep Learning Polyp Detection
by: Nuñez, Jose Angel, et al.
Published: (2025)