Login / Signup
Improving Semantic Image Segmentation With a Probabilistic Superpixel-Based Dense Conditional Random Field.
Liang Zhang
Huan Li
Peiyi Shen
Guangming Zhu
Juan Song
Syed Afaq Ali Shah
Mohammed Bennamoun
Li Zhang
Published in:
IEEE Access (2018)
Keyphrases
</>
conditional random fields
image segmentation
probabilistic model
superpixels
markov random field
generative model
semantic segmentation
image segmentation algorithm
segmentation method
graphical models
long range
random fields
crf model
expectation maximization
maximum entropy
higher order
graph cuts
object segmentation
structured prediction
image labeling
multiscale
parameter estimation
hidden markov models
information extraction
segmentation algorithm
pairwise
bayesian networks
image processing
semantic similarity
belief networks
active contours
max margin
em algorithm
undirected graphical models
mean shift
markov networks
approximate inference
shape prior
posterior probability
belief propagation
deformable models
data mining
information retrieval