Deep learning has revolutionized the field of computer vision, enabling machines to perform tasks that were once considered the exclusive domain of humans. This paper provides an overview of the advancements in deep learning for computer vision and discusses the impact it has had on various applications.

Key Points

  • Convolutional Neural Networks (CNNs): These networks have been particularly effective for image classification, object detection, and segmentation tasks.
  • Transfer Learning: Leveraging pre-trained models on large datasets to improve performance on smaller datasets.
  • Applications: Computer vision techniques are now used in areas such as autonomous vehicles, medical imaging, and surveillance.

Images

Convolutional Neural Network

Transfer Learning

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