We propose a transformer architecture based on mutual attention for image-anomaly separation. This architecture can capture long-term dependencies and fuse ...

Mar 11, 2024 · Our method was extensively evaluated on several benchmarks, and experimental results showed that it improved detection capability by 3.1% and ...

摘要 Image-anomaly detection, which is widely used in industrial fields. Previous studies that attempted to address this problem often trained convolutional ...

Feb 14, 2024 · The purpose of anomaly detection is to precisely identify system failures and guarantee the stable operation of the system. According to the ...

Missing: mutual | Show results with:mutual

Sep 6, 2022 · In this paper, we propose a novel Transformer-based architecture for anomaly detection which has advantages in extracting features with global ...

This paper proposes a novel transformer-based approach, Inductive Transformer (ITran) for industrial anomaly detection and localization.

In this paper, we propose a novel Transformer-based architecture for anomaly detection which has advantages in extracting features with global information.

Jul 22, 2023 · This review provides a comprehensive analysis of the most recent advancements in the application of transformer architectures and attention mechanisms to ...

This work introduces an unsupervised framework for video anomaly detection, leveraging a hybrid deep learning model that combines a vision transformer (ViT)