Visual Representation Learning from Synthetic Data
Representation learning is crucial for developing robust vision systems. The effectiveness of this learning process largely depends on the quality and quantity of data. Synthetic data presents unique advantages in terms of flexibility, scalability, and controllability. Recent advances in generative...
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/156315 |