Overall, in FIRE, due to the prevalence of the category S, the difference between our method and the triplet baseline is less notable but still highly significant.
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ConKeD: multiview contrastive descriptor learning for keypoint-based retinal image registration.
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The sentences
These differences in the results are constant across all the FIRE categories, creating a clear trend.