Improving Product Recognition with Metric Learning

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This research presentation explores metric learning principles and their applications in machine learning, focusing on improving product recognition through embedding and clustering tasks. Comparative analyses and experiments are conducted with Mahalanobis distance learning and LDA to evaluate performance, accuracy, and handling of out-of-distribution data. Practical insights on real-world use-cases and challenges are discussed, with recommendations for applied research and future...