Learning Ordinality in Semantic Segmentation

Learning Ordinality in Semantic Segmentation

Semantic segmentation consists of predicting a semantic label for each image pixel. While existing deep learning approaches achieve high accuracy, they often overlook the ordinal relationships between classes, which can provide critical domain knowledge (e.g., the pupil lies within the iris, and lan...

Full description

Bibliographic Details
Main Authors: Ricardo P. M. Cruz, Rafael Cristino, Jaime S. Cardoso
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Ordinal segmentation
semantic segmentation
domain knowledge
deep neural network
autonomous driving
scene parsing
Online Access:https://ieeexplore.ieee.org/document/10869448/

Internet

https://ieeexplore.ieee.org/document/10869448/

Similar Items