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Universidade Federal do Paraná
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Unsupervised threshold determination in Siamese networks can match traditional methods' accuracy while drastically reducing the need for labeled data.
Self-supervised learning can achieve over 97% accuracy in parking spot occupancy recognition without requiring labeled data from the target environment.
