Deep learning-based defect classification and detection in SEM images
spiedigitallibrary.org
Deep learning-based defect classification and detection in SEM images
Defect inspection in semiconductor processes has become a challenging task due to continuous shrink of device patterns (pitches less than 32 nm) as we move from node to node. Current state-of-the-art defect detection tools (optical/e-beam) have certain limitations as these tools are driven by some rule-based techniques for defect classification ...
5 months ago
Contextual image classification applications
J. Kelly Coker
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1. Contextual Significance: Explore how the archaeological context of human remains, including associated artifacts and burial practices, contributes to their classification as artifacts. 2. Time and Temporality: Discuss differing perspectives on the temporal threshold required for remains to be considered worthy of archaeological study. 3. Cultural and Historical Insights: Examine how studying human remains offers unique perspectives on past cultures, societies, and historical events. 4. Ethica
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1. Contextual Significance: Explore how the archaeological context of human remains, including associated artifacts and burial practices, contributes to their classification as artifacts. 2. Time and Temporality: Discuss differing perspectives on the temporal threshold required for remains to be considered worthy of archaeological study. 3. Cultural and Historical Insights: Examine how studying human remains offers unique perspectives on past cultures, societies, and historical events. 4. Ethica
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