Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Nikolenko, Sergey I.
Springer Nature Switzerland AG
06/2022
348
Mole
Inglês
9783030751807
15 a 20 dias
551
Descrição não disponível.
1. Introduction.- 2. Synthetic data for basic computer vision problems.- 3. Synthetic simulated environments.- 4. Synthetic data outside computer vision.- 5. Directions in synthetic data development.- 6. Synthetic-to-real domain adaptation and refinement.- 7. Privacy guarantees in synthetic data.- 8. Promising directions for future work.- Conclusion.- References.
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synthetic data;deep learning;low-level computer vision;object detection;segmentation;GANs;domain transfer;machine learning models;deep learning and optimization;neural networks computer vision;synthetic simulated environment;computer vision problems
1. Introduction.- 2. Synthetic data for basic computer vision problems.- 3. Synthetic simulated environments.- 4. Synthetic data outside computer vision.- 5. Directions in synthetic data development.- 6. Synthetic-to-real domain adaptation and refinement.- 7. Privacy guarantees in synthetic data.- 8. Promising directions for future work.- Conclusion.- References.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.