2 papers
cs.LG2026
How Far is Too Far? Defining the Distance Threshold for Verification Siamese Networks
HeloÃsa Dias Viotto, Cauê Samonek, Lucas Garcia Pedroso +3
Siamese verification networks are widely used to compare items such as faces, cars, or signatures. In these scenarios, the network is trained to learn an embedding space in which s…
cs.LG2026
Maintaining Difficulty: A Margin Scheduler for Triplet Loss in Siamese Networks Training
Roberto Sprengel Minozzo Tomchak, Oge Marques, Lucas Garcia Pedroso +2
The Triplet Margin Ranking Loss is one of the most widely used loss functions in Siamese Networks for solving Distance Metric Learning (DML) problems. This loss function depends on…