ML-CGAN: Conditional Generative Adversarial Network with a Meta-learner Structure for High-Quality Image Generation with Few Training Data
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DOI: 10.1007/s12559-020-09796-4
Abstract: Since generative adversarial network (GAN) can learn data distribution and generate new samples based on the learned data distribution, it has become a research hotspot in the area of deep learning and cognitive computation. The… read more here.
Keywords: generative adversarial; meta learner; network; training data ... See more keywords