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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Jian-Jun Shi

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Conference

Robust Anomaly Detection under Data Contamination for Pixel-Level Defective Region Segmentation

This work proposes an unsupervised robust anomaly detection framework under data contamination for pixel-level defective region segmentation, built on an autoencoder structure with a memory module and holds two mild assumptions: across-sample low-rank, and sparse anomalies.

Yi-Feng Wang, Jian-Jun Shi, Chuck Zhang et al. · 0 citations

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