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Distribution Regularized Self-Supervised Learning for Domain Adaptation of Semantic Segmentation
Due to the domain shift, this decision boundary is unaligned in the target domain, resulting in noisy pseudo labels adversely affecting self-supervised domain adaptation.
Block and Group Regularized Sparse Modeling for Dictionary Learning
This paper proposes a dictionary learning framework that combines the proposed block/group (BGSC) or reconstructed block/group (R-BGSC) sparse coding schemes with the novel Intra-block Coherence Suppression Dictionary Learning (ICS-DL) algorithm.
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