Search Results for author:
Found 2 papers, 0 papers with code
CAINNFlow: Convolutional block Attention modules and Invertible Neural Networks Flow for anomaly detection and localization tasks
Detection of object anomalies is crucial in industrial processes, but unsupervised anomaly detection and localization is particularly important due to the difficulty of obtaining a large number of defective samples and the unpredictable types of anomalies in real life.
AI Online Filters to Real World Image Recognition
Deep artificial neural networks, trained with labeled data sets are widely used in numerous vision and robotics applications today.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
