Open-Set Tattoo Semantic Segmentation

Open-Set Tattoo Semantic Segmentation

Tattoos can serve as an essential source of biometric information for public security, aiding in identifying suspects and victims. In order to automate tattoo classification, tasks like classification require more detailed image content analysis, such as semantic segmentation. However, a dataset wit...

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Bibliographic Details
Main Authors: Anderson Brilhador, Rodrigo Tchalski da Silva, Carlos Roberto Modinez-Junior, Gabriel de Almeida Spadafora, Heitor Silverio Lopes, Andre Eugenio Lazzaretti
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Open-world
open-set
semantic segmentation
large-margin learning
tattoo classification
Online Access:https://ieeexplore.ieee.org/document/10623180/

Internet

https://ieeexplore.ieee.org/document/10623180/

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