Search Results for author:
Found 2 papers, 0 papers with code
Code-Based English Models Surprising Performance on Chinese QA Pair Extraction Task
In previous studies, code-based models have consistently outperformed text-based models in reasoning-intensive scenarios.
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.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
