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Found 3 papers, 1 papers with code
GC-VTON: Predicting Globally Consistent and Occlusion Aware Local Flows with Neighborhood Integrity Preservation for Virtual Try-on
However, optimizing a single flow predicting network for simultaneous global boundary alignment and local texture preservation results in sub-optimal flow fields.
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.
Cross-Region Building Counting in Satellite Imagery using Counting Consistency
We then exploit counting consistency constraints, within-image count consistency, and across-image count consistency, to decrease the domain shift.
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