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Found 3 papers, 3 papers with code
Scene Text Image Super-Resolution via Parallelly Contextual Attention Network
In this paper, we propose a Parallel Contextual Attention Network (PCAN), which can effectively learn sequence-dependent features and focus more on high-frequency information of the reconstruction in text images.
Maximum Density Divergence for Domain Adaptation
In this paper, we propose a new domain adaptation method named Adversarial Tight Match (ATM) which enjoys the benefits of both adversarial training and metric learning.
Locality Preserving Joint Transfer for Domain Adaptation
Domain adaptation aims to leverage knowledge from a well-labeled source domain to a poorly-labeled target domain.
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