Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection.

Yuxiang Zhang Sachin Mehta Anat Caspi

Published in: CoRR (2021)

Keyphrases

model selection
semantic segmentation
parameter estimation
model selection criteria
mixture model
feature selection
machine learning
conditional random fields
superpixels
scene classification
data sets
denoising
maximum likelihood
unsupervised learning
object categories
object class