[Figure 5] Comparison of Learned Feature Discrimination Capabilities (IMAGE)

National Research Council of Science & Technology

[Figure 5] Comparison of Learned Feature Discrimination Capabilities

Caption

This image (t-SNE) displays the features extracted from images by artificial intelligence on a two-dimensional map, where each point represents a single image and the color indicates the type of object. The model trained using the conventional method (left) shows categories mixed together, making them difficult to distinguish, whereas the model trained with A²SG (right) clearly separates the categories. This demonstrates that A²SG enables stable and accurate training of SNN models.

Credit

Korea Institute of Science and Technology(KIST)

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