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Article
Open AccessSSDLog: a semi-supervised dual branch model for log anomaly detection
With versatility and complexity of computer systems, warning and errors are inevitable. To effectively monitor system’s status, system logs are critical. To detect anomalies in system logs, deep learning is a ...
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Chapter and Conference Paper
AMRE: An Attention-Based CRNN for Manchu Word Recognition on a Woodblock-Printed Dataset
Ancient minority language character recognition could be challenging due to limited documentation, but it is always critical to better understand history and conduct social science researches. As an important ...
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Chapter and Conference Paper
LMSA: Low-Relation Multi-head Self-attention Mechanism in Visual Transformer
The Transformer backbone network with self-attention mechanism as the core has achieved great success in the field of natural language processing and computer vision. However, compared with classical visual fe...