Wildlife re-identification involves comparing a reference image set with a query image set to determine individuals' identities, drawing from local descriptors and metric learning methods.
The MegaDescriptor methodology includes evaluating SIFT, Superpoint descriptors for local features, and metric learning methods like Arcface and Triplet loss for wildlife re-identification tasks.
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