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Meta-Seg: A Generalized Meta-Learning Framework for Multi-Class Few-Shot Semantic Segmentation.
Zhiying Cao
Tengfei Zhang
Wenhui Diao
Yue Zhang
Xiaode Lyu
Kun Fu
Xian Sun
Published in:
IEEE Access (2019)
Keyphrases
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multi class
meta learning
semantic segmentation
base classifiers
support vector machine
inductive learning
cost sensitive
pairwise
model selection
feature selection
decision trees
reinforcement learning
superpixels
multiscale
conditional random fields
machine learning
data sets