Self-Supervised Iterative Refinement for Anomaly Detection in Industrial Quality Control
Fuente:
arXiv
Saved in:
| Main Authors: | Aqeel, Muhammad, Sharifi, Shakiba, Cristani, Marco, Setti, Francesco |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Meta Learning-Driven Iterative Refinement for Robust Anomaly Detection in Industrial Inspection
by: Aqeel, Muhammad, et al.
Published: (2025)
by: Aqeel, Muhammad, et al.
Published: (2025)
Robust Anomaly Detection in Industrial Environments via Meta-Learning
by: Aqeel, Muhammad, et al.
Published: (2025)
by: Aqeel, Muhammad, et al.
Published: (2025)
Towards Real Unsupervised Anomaly Detection Via Confident Meta-Learning
by: Aqeel, Muhammad, et al.
Published: (2025)
by: Aqeel, Muhammad, et al.
Published: (2025)
A Contrastive Learning-Guided Confident Meta-learning for Zero Shot Anomaly Detection
by: Aqeel, Muhammad, et al.
Published: (2025)
by: Aqeel, Muhammad, et al.
Published: (2025)
Anomaly-Aware Vision-Language Adapters for Zero-Shot Anomaly Detection
by: Aqeel, Muhammad, et al.
Published: (2026)
by: Aqeel, Muhammad, et al.
Published: (2026)
Diffusion-based Image Generation for In-distribution Data Augmentation in Surface Defect Detection
by: Capogrosso, Luigi, et al.
Published: (2024)
by: Capogrosso, Luigi, et al.
Published: (2024)
Diffusion-Based Data Augmentation for Medical Image Segmentation
by: Nazir, Maham, et al.
Published: (2025)
by: Nazir, Maham, et al.
Published: (2025)
Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection
by: Girella, Federico, et al.
Published: (2024)
by: Girella, Federico, et al.
Published: (2024)
Supervised Anomaly Detection for Complex Industrial Images
by: Baitieva, Aimira, et al.
Published: (2024)
by: Baitieva, Aimira, et al.
Published: (2024)
RoadFusion: Latent Diffusion Model for Pavement Defect Detection
by: Aqeel, Muhammad, et al.
Published: (2025)
by: Aqeel, Muhammad, et al.
Published: (2025)
Hyperspectral Anomaly Detection with Self-Supervised Anomaly Prior
by: Liu, Yidan, et al.
Published: (2024)
by: Liu, Yidan, et al.
Published: (2024)
ExDD: Explicit Dual Distribution Learning for Surface Defect Detection via Diffusion Synthesis
by: Aqeel, Muhammad, et al.
Published: (2025)
by: Aqeel, Muhammad, et al.
Published: (2025)
Self-Tuning Self-Supervised Image Anomaly Detection
by: Yoo, Jaemin, et al.
Published: (2023)
by: Yoo, Jaemin, et al.
Published: (2023)
SITUATE: Indoor Human Trajectory Prediction through Geometric Features and Self-Supervised Vision Representation
by: Capogrosso, Luigi, et al.
Published: (2024)
by: Capogrosso, Luigi, et al.
Published: (2024)
Self-Supervised Training with Autoencoders for Visual Anomaly Detection
by: Bauer, Alexander, et al.
Published: (2022)
by: Bauer, Alexander, et al.
Published: (2022)
Enhancing Split Computing and Early Exit Applications through Predefined Sparsity
by: Capogrosso, Luigi, et al.
Published: (2024)
by: Capogrosso, Luigi, et al.
Published: (2024)
Is SAM3 ready for pathology segmentation?
by: Kong, Qiuyu, et al.
Published: (2026)
by: Kong, Qiuyu, et al.
Published: (2026)
Tailored Transformation Invariance for Industrial Anomaly Detection
by: Schönfeld, Mariette, et al.
Published: (2025)
by: Schönfeld, Mariette, et al.
Published: (2025)
IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR
by: Liang, Ziyun, et al.
Published: (2025)
by: Liang, Ziyun, et al.
Published: (2025)
Multimodal Abstractive Summarization of Instructional Videos with Vision-Language Models
by: Nazir, Maham, et al.
Published: (2026)
by: Nazir, Maham, et al.
Published: (2026)
MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting
by: Avogaro, Andrea, et al.
Published: (2024)
by: Avogaro, Andrea, et al.
Published: (2024)
Dif4FF: Leveraging Multimodal Diffusion Models and Graph Neural Networks for Accurate New Fashion Product Performance Forecasting
by: Avogaro, Andrea, et al.
Published: (2024)
by: Avogaro, Andrea, et al.
Published: (2024)
Well Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends
by: Skenderi, Geri, et al.
Published: (2021)
by: Skenderi, Geri, et al.
Published: (2021)
Pseudo-label Refinement for Improving Self-Supervised Learning Systems
by: Zia-ur-Rehman, et al.
Published: (2024)
by: Zia-ur-Rehman, et al.
Published: (2024)
Adversarially Robust Industrial Anomaly Detection Through Diffusion Model
by: Cao, Yuanpu, et al.
Published: (2024)
by: Cao, Yuanpu, et al.
Published: (2024)
Revisiting Deep Feature Reconstruction for Logical and Structural Industrial Anomaly Detection
by: Patra, Sukanya, et al.
Published: (2024)
by: Patra, Sukanya, et al.
Published: (2024)
Self-Supervised Anomaly Detection in the Wild: Favor Joint Embeddings Methods
by: Otero, Daniel, et al.
Published: (2024)
by: Otero, Daniel, et al.
Published: (2024)
Rethinking Continual Anomaly Detection on the Edge: Benchmarking Under Realistic Industrial Conditions
by: Weatherly, Chad, et al.
Published: (2026)
by: Weatherly, Chad, et al.
Published: (2026)
Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detection
by: Kruse, Mathis, et al.
Published: (2025)
by: Kruse, Mathis, et al.
Published: (2025)
New Fashion Products Performance Forecasting: A Survey on Evolutions, Models and Emerging Trends
by: Avogaro, Andrea, et al.
Published: (2025)
by: Avogaro, Andrea, et al.
Published: (2025)
Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection
by: Wang, Fuyun, et al.
Published: (2026)
by: Wang, Fuyun, et al.
Published: (2026)
DFIR-DETR: Frequency-Domain Iterative Refinement and Dynamic Feature Aggregation for Small Object Detection
by: Gao, Bo, et al.
Published: (2025)
by: Gao, Bo, et al.
Published: (2025)
Machine Learning in Industrial Quality Control of Glass Bottle Prints
by: Bundscherer, Maximilian, et al.
Published: (2024)
by: Bundscherer, Maximilian, et al.
Published: (2024)
Fast Samplers for Inverse Problems in Iterative Refinement Models
by: Pandey, Kushagra, et al.
Published: (2024)
by: Pandey, Kushagra, et al.
Published: (2024)
Multi-Camera Industrial Open-Set Person Re-Identification and Tracking
by: Cunico, Federico, et al.
Published: (2024)
by: Cunico, Federico, et al.
Published: (2024)
Mitigating Instance-Dependent Label Noise: Integrating Self-Supervised Pretraining with Pseudo-Label Refinement
by: Bala, Gouranga, et al.
Published: (2024)
by: Bala, Gouranga, et al.
Published: (2024)
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
by: Al-lahham, Anas, et al.
Published: (2024)
by: Al-lahham, Anas, et al.
Published: (2024)
Multi-feature Reconstruction Network using Crossed-mask Restoration for Unsupervised Industrial Anomaly Detection
by: Wang, Junpu, et al.
Published: (2024)
by: Wang, Junpu, et al.
Published: (2024)
Shape: A Self-Supervised 3D Geometry Foundation Model for Industrial CAD Analysis
by: Mounmo, Bayangmbe, et al.
Published: (2026)
by: Mounmo, Bayangmbe, et al.
Published: (2026)
Benchmarking Compact VLMs for Clip-Level Surveillance Anomaly Detection Under Weak Supervision
by: Borodin, Kirill, et al.
Published: (2026)
by: Borodin, Kirill, et al.
Published: (2026)
Similar Items
-
Meta Learning-Driven Iterative Refinement for Robust Anomaly Detection in Industrial Inspection
by: Aqeel, Muhammad, et al.
Published: (2025) -
Robust Anomaly Detection in Industrial Environments via Meta-Learning
by: Aqeel, Muhammad, et al.
Published: (2025) -
Towards Real Unsupervised Anomaly Detection Via Confident Meta-Learning
by: Aqeel, Muhammad, et al.
Published: (2025) -
A Contrastive Learning-Guided Confident Meta-learning for Zero Shot Anomaly Detection
by: Aqeel, Muhammad, et al.
Published: (2025) -
Anomaly-Aware Vision-Language Adapters for Zero-Shot Anomaly Detection
by: Aqeel, Muhammad, et al.
Published: (2026)