23 citations · 38 across the 3 of their papers we have counts for
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cs.CV2021
More Separable and Easier to Segment: A Cluster Alignment Method for Cross-Domain Semantic Segmentation
Shuang Wang, Dong Zhao, Yi Li +5
Feature alignment between domains is one of the mainstream methods for Unsupervised Domain Adaptation (UDA) semantic segmentation. Existing feature alignment methods for semantic s…
cs.CV2018
Modified Diversity of Class Probability Estimation Co-training for Hyperspectral Image Classification
Yan Ju, Lingling Li, Licheng Jiao +3
Due to the limited amount and imbalanced classes of labeled training data, the conventional supervised learning can not ensure the discrimination of the learned feature for hypersp…
cs.CV2017★ 12 cited
Discriminative Transformation Learning for Fuzzy Sparse Subspace Clustering
Zaidao Wen, Biao Hou, Qian Wu +1
This paper develops a novel iterative framework for subspace clustering in a learned discriminative feature domain. This framework consists of two modules of fuzzy sparse subspace…