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cs.LG2022★ 2 cited
Distinction Maximization Loss: Efficiently Improving Out-of-Distribution Detection and Uncertainty Estimation by Replacing the Loss and Calibrating
David Macêdo, Cleber Zanchettin, Teresa Ludermir
Building robust deterministic neural networks remains a challenge. On the one hand, some approaches improve out-of-distribution detection at the cost of reducing classification acc…
cs.CV2022
ASL-Skeleton3D and ASL-Phono: Two Novel Datasets for the American Sign Language
Cleison Correia de Amorim, Cleber Zanchettin
Sign language is an essential resource enabling access to communication and proper socioemotional development for individuals suffering from disabling hearing loss. As this populat…