A survey of synthetic data augmentation methods in computer vision

Documenti analoghi

• Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
  di: Mumuni, Alhassan, et al.
  Pubblicazione: (2024)
• Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches
  di: Mumuni, Alhassan, et al.
  Pubblicazione: (2025)
• Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO
  di: Mumuni, Fuseini, et al.
  Pubblicazione: (2024)
• Explainable artificial intelligence (XAI): from inherent explainability to large language models
  di: Mumuni, Fuseini, et al.
  Pubblicazione: (2025)
• Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning
  di: Mumuni, Fuseinin, et al.
  Pubblicazione: (2024)