Abstract: Industrial few-shot anomaly detection (FSAD) requires identifying various abnormal states by leveraging as few normal samples as possible (abnormal samples are unavailable during training).
AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...
Abstract: Microservice architecture decomposes complex applications into multiple small, independent services, enabling independent deployment and scaling. However, microservice systems introduce ...
🔍 Rethinking Unified Models: We identify two critical limitations in existing unified multi-person eyeblink detection models: (1) feature granularity conflict between face localization and eyeblink ...
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