Transfer Learning for Vision
Almost nobody trains a vision model from scratch anymore, and there's a good structural reason: the early layers of any CNN trained on natural images learn something close to universal — edges, colours, simple textures — regardless of what specific objects the model was ultimately trained to recognise. That generic foundation is exactly what transfer learning reuses.