Average Accuracy: 95.8
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Domain Generalization
The idea of Domain Generalization is to learn from one or multiple training domains, to extract a domain-agnostic model which can be applied to an unseen domain
<span class="description-source">Source: Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning </span>
논문
Average Accuracy: 98.6
Average Accuracy: 97.9
Average Accuracy: 96.8
Average Accuracy: 99.0
Average Accuracy: 97.0
Average Accuracy: 90.2
Average Accuracy: 89.2
Average Accuracy: 88.6
Average Accuracy: 94.6
Average Accuracy: 96.8
Average Accuracy: 88.63
Average Accuracy: 97.4
Average Accuracy: 96.1
Average Accuracy: 97.6
Average Accuracy: 96.68
Average Accuracy: 90.5
Average Accuracy: 88.7
Average Accuracy: 90.7
Average Accuracy: 95.6
Average Accuracy: 88.3