On-Device Continual Learning for Unsupervised Visual Anomaly Detection in Dynamic Manufacturing
Fuente:
arXiv
Guardado en:
| Autores principales: | Ren, Haoyu, Koehle, Kay, Dorofeev, Kirill, Anicic, Darko |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt
por: Liu, Jiaqi, et al.
Publicado: (2024)
por: Liu, Jiaqi, et al.
Publicado: (2024)
Integrating Present and Past in Unsupervised Continual Learning
por: Zhang, Yipeng, et al.
Publicado: (2024)
por: Zhang, Yipeng, et al.
Publicado: (2024)
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
por: Al-lahham, Anas, et al.
Publicado: (2024)
por: Al-lahham, Anas, et al.
Publicado: (2024)
Towards Real Unsupervised Anomaly Detection Via Confident Meta-Learning
por: Aqeel, Muhammad, et al.
Publicado: (2025)
por: Aqeel, Muhammad, et al.
Publicado: (2025)
Unsupervised Anomaly Detection on Implicit Shape representations for Sarcopenia Detection
por: Piecuch, Louise, et al.
Publicado: (2025)
por: Piecuch, Louise, et al.
Publicado: (2025)
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data
por: Im, Jiin, et al.
Publicado: (2024)
por: Im, Jiin, et al.
Publicado: (2024)
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
por: Marimont, Sergio Naval, et al.
Publicado: (2024)
por: Marimont, Sergio Naval, et al.
Publicado: (2024)
Benchmarking Compact VLMs for Clip-Level Surveillance Anomaly Detection Under Weak Supervision
por: Borodin, Kirill, et al.
Publicado: (2026)
por: Borodin, Kirill, et al.
Publicado: (2026)
When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity
por: Mejri, Nesryne, et al.
Publicado: (2025)
por: Mejri, Nesryne, et al.
Publicado: (2025)
Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination
por: Das, Anindya Sundar, et al.
Publicado: (2024)
por: Das, Anindya Sundar, et al.
Publicado: (2024)
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning
por: Bugarin, Nikola, et al.
Publicado: (2024)
por: Bugarin, Nikola, et al.
Publicado: (2024)
3D-CSAD: Untrained 3D Anomaly Detection for Complex Manufacturing Surfaces
por: Cao, Xuanming, et al.
Publicado: (2024)
por: Cao, Xuanming, et al.
Publicado: (2024)
TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
por: Jung, Yoon Gyo, et al.
Publicado: (2025)
por: Jung, Yoon Gyo, et al.
Publicado: (2025)
Self-Supervised Training with Autoencoders for Visual Anomaly Detection
por: Bauer, Alexander, et al.
Publicado: (2022)
por: Bauer, Alexander, et al.
Publicado: (2022)
ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection
por: Hermary, Romain, et al.
Publicado: (2026)
por: Hermary, Romain, et al.
Publicado: (2026)
Multi-feature Reconstruction Network using Crossed-mask Restoration for Unsupervised Industrial Anomaly Detection
por: Wang, Junpu, et al.
Publicado: (2024)
por: Wang, Junpu, et al.
Publicado: (2024)
uTRAND: Unsupervised Anomaly Detection in Traffic Trajectories
por: D'Amicantonio, Giacomo, et al.
Publicado: (2024)
por: D'Amicantonio, Giacomo, et al.
Publicado: (2024)
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
por: Jiang, Xi, et al.
Publicado: (2024)
por: Jiang, Xi, et al.
Publicado: (2024)
UnCLe: Benchmarking Unsupervised Continual Learning for Depth Completion
por: Chen, Xien, et al.
Publicado: (2024)
por: Chen, Xien, et al.
Publicado: (2024)
Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?
por: Sarfraz, M. Saquib, et al.
Publicado: (2024)
por: Sarfraz, M. Saquib, et al.
Publicado: (2024)
Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning
por: Taylor, Cameron, et al.
Publicado: (2024)
por: Taylor, Cameron, et al.
Publicado: (2024)
Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers
por: Kuhn, Lukas, et al.
Publicado: (2025)
por: Kuhn, Lukas, et al.
Publicado: (2025)
Rethinking Continual Anomaly Detection on the Edge: Benchmarking Under Realistic Industrial Conditions
por: Weatherly, Chad, et al.
Publicado: (2026)
por: Weatherly, Chad, et al.
Publicado: (2026)
Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection
por: Behrendt, Finn, et al.
Publicado: (2024)
por: Behrendt, Finn, et al.
Publicado: (2024)
Towards Universal Unsupervised Anomaly Detection in Medical Imaging
por: Bercea, Cosmin I., et al.
Publicado: (2024)
por: Bercea, Cosmin I., et al.
Publicado: (2024)
Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
por: Cheng, Qisen, et al.
Publicado: (2025)
por: Cheng, Qisen, et al.
Publicado: (2025)
Unsupervised Learning of Unbiased Visual Representations
por: Barbano, Carlo Alberto, et al.
Publicado: (2022)
por: Barbano, Carlo Alberto, et al.
Publicado: (2022)
CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection
por: Wang, Xiaolei, et al.
Publicado: (2024)
por: Wang, Xiaolei, et al.
Publicado: (2024)
IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR
por: Liang, Ziyun, et al.
Publicado: (2025)
por: Liang, Ziyun, et al.
Publicado: (2025)
On the Problem of Consistent Anomalies in Zero-Shot Anomaly Detection
por: Le-Gia, Tai
Publicado: (2025)
por: Le-Gia, Tai
Publicado: (2025)
Hyperspectral Anomaly Detection with Self-Supervised Anomaly Prior
por: Liu, Yidan, et al.
Publicado: (2024)
por: Liu, Yidan, et al.
Publicado: (2024)
Robust Anomaly Detection in Industrial Environments via Meta-Learning
por: Aqeel, Muhammad, et al.
Publicado: (2025)
por: Aqeel, Muhammad, et al.
Publicado: (2025)
ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model
por: Wang, Guanchun, et al.
Publicado: (2025)
por: Wang, Guanchun, et al.
Publicado: (2025)
Continual Error Correction on Low-Resource Devices
por: Paramonov, Kirill, et al.
Publicado: (2025)
por: Paramonov, Kirill, et al.
Publicado: (2025)
Patch2Loc: Learning to Localize Patches for Unsupervised Brain Lesion Detection
por: Baker, Hassan, et al.
Publicado: (2025)
por: Baker, Hassan, et al.
Publicado: (2025)
DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization
por: Zhao, Yanpeng, et al.
Publicado: (2023)
por: Zhao, Yanpeng, et al.
Publicado: (2023)
Set Features for Anomaly Detection
por: Cohen, Niv, et al.
Publicado: (2023)
por: Cohen, Niv, et al.
Publicado: (2023)
Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection
por: Behrendt, Finn, et al.
Publicado: (2024)
por: Behrendt, Finn, et al.
Publicado: (2024)
Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning
por: Fang, Qingqing, et al.
Publicado: (2024)
por: Fang, Qingqing, et al.
Publicado: (2024)
Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques
por: Hegiste, Vinit, et al.
Publicado: (2024)
por: Hegiste, Vinit, et al.
Publicado: (2024)
Ejemplares similares
-
Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt
por: Liu, Jiaqi, et al.
Publicado: (2024) -
Integrating Present and Past in Unsupervised Continual Learning
por: Zhang, Yipeng, et al.
Publicado: (2024) -
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
por: Al-lahham, Anas, et al.
Publicado: (2024) -
Towards Real Unsupervised Anomaly Detection Via Confident Meta-Learning
por: Aqeel, Muhammad, et al.
Publicado: (2025) -
Unsupervised Anomaly Detection on Implicit Shape representations for Sarcopenia Detection
por: Piecuch, Louise, et al.
Publicado: (2025)