Leveraging Transfer Learning in Computer Vision: Beyond the Basics
In this advanced exploration of transfer learning in computer vision, we delve into the critical role of pre-trained models, feature extraction, and their applications in image classification, object detection, and semantic segmentation. The article accompanies real-life case studies to understand the tangible transformation transfer learning brings to the landscape of computer vision.
