Average Accuracy: 87.83
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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: 86.64
Average Accuracy: 87.6
Average Accuracy: 86.6
Average Accuracy: 87.0
Average Accuracy: 87.35
Average Accuracy: 86.4
Average Accuracy: 86.4
Average Accuracy: 84.69
Average Accuracy: 87.52
Average Accuracy: 85.34
Average Accuracy: 84.6
Average Accuracy: 87.3
Average Accuracy: 87.87
Average Accuracy: 86.9
Average Accuracy: 84.64
Average Accuracy: 84.6
Average Accuracy: 85.50
Average Accuracy: 85.84
Average Accuracy: 86.9
Average Accuracy: 86.7
Average Accuracy: 87.89
Average Accuracy: 85.6
Average Accuracy: 88.1
Average Accuracy: 88.1
Average Accuracy: 84.46