Abstract: Peripheral blood cell detection is essential for diagnosing and monitoring hematologic disorders. However, existing methods typically focus on a limited number of cell types (usually 3 to 10 ...
Abstract: Unsupervised anomaly detection (AD) is a critical task in various domains, from manufacturing to infrastructure monitoring. To advance this field, we introduce two novel datasets: CARS-AD ...
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