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Unsupervised Synthetic Image Refinement via Contrastive Learning and Consistent Semantic-Structural Constraints
Ensuring the realism of computer-generated synthetic images is crucial to deep neural network (DNN) training.
A Study on Improving Realism of Synthetic Data for Machine Learning
Synthetic-to-real data translation using generative adversarial learning has achieved significant success in improving synthetic data.
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