Toward Quantifying the Real-Versus-synthetic Imagery Training Data Reality Gap: Analysis and Practical Applications
SYNTHETIC DATA FOR ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TOOLS, TECHNIQUES, AND APPLICATIONS II（2024）
Key words
machine learning,deep learning,synthetic data,domain gap,reality gap,sim-to-real,image classification,computer vision,CV,training distribution,latent space,feature embedding vectors
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