An age-old problem that persists with deep learning is that it requires thousands of training samples to learn. Transfer learning is an advancement to deep learning through which learned models can be ...

The exponential growth of image data in recent years, driven by the widespread adoption of digital photography and the proliferation of social media platforms, presents a pressing challenge: how to ...