Industrial Image Anomaly Localization Based on Gaussian Clustering of Pretrained Feature
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3094452
Abstract: Anomaly localization is valuable for improvement of complex production processing in smart manufacturing system. As the distribution of anomalies is unknowable and labeled data is few, unsupervised methods based on convolutional neural network (CNN) have… read more here.
Keywords: clustering pretrained; pretrained feature; localization; gaussian clustering ... See more keywords
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3196436
Abstract: Currently, deep learning-based visual inspection has been highly successful with the help of supervised learning methods. However, in real industrial scenarios, the scarcity of defect samples, the cost of annotation, and the lack of $a$… read more here.
Keywords: localization; industrial images; anomaly localization; unsupervised anomaly ... See more keywords
CFFDist: Cross-Scale Feature Fusion Distillation Network for Industrial Anomaly Localization
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2024.3502773
Abstract: Unsupervised anomaly localization plays a crucial role in detecting surface defects in industrial products, and the knowledge distillation network stands out for its effectiveness in anomaly localization. To further enhance the sensitivity of knowledge distillation… read more here.
Keywords: distillation; anomaly localization; network; feature fusion ... See more keywords
PADiff: Reconstruction From Patch to Pixel With Normality-Guided Diffusion Model for Unsupervised Anomaly Localization
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2025.3572438
Abstract: Anomaly localization (AL) is an indispensable and challenging task in manufacturing. Recently, diffusion models have been widely used to localize anomalies through discrepancies between original and reconstructed representations, which is based on the hypothesis that… read more here.
Keywords: patch; anomaly localization; reconstruction; diffusion model ... See more keywords
BiaS: Incorporating Biased Knowledge to Boost Unsupervised Image Anomaly Localization
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2023.3344383
Abstract: Image anomaly localization is a pivotal technique in industrial inspection, often manifesting as a supervised task where abundant normal samples coexist with rare abnormal samples. Existing supervised methods in this context are prone to overfitting,… read more here.
Keywords: biased knowledge; image anomaly; knowledge; anomaly localization ... See more keywords
Masked Transformer for Image Anomaly Localization
Sign Up to like & getrecommendations! Published in 2022 at "International journal of neural systems"
DOI: 10.1142/s0129065722500307
Abstract: Image anomaly detection consists in detecting images or image portions that are visually different from the majority of the samples in a dataset. The task is of practical importance for various real-life applications like biomedical… read more here.
Keywords: image anomaly; masked transformer; anomaly localization; transformer image ... See more keywords