Data-Efficient Learning in Image Synthesis and Instance Segmentation
Modern deep learning methods have achieve remarkable performance on a variety of computer vision tasks, but frequently require large, well-balanced training datasets to achieve high-quality results. Data-efficient performance is critical for downstream tasks such as automated driving or facial recog...
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Virginia Tech
2021
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| Online Access: | http://hdl.handle.net/10919/104676 |