History of Face Recognition: Part 2
DeepID and CasiaWebFace Innovations.
Series Introduction
Face recognition has been pivotal in shaping today’s representation learning paradigm. You may not realize it, but when using Retrieval-Augmented Generation (RAG) for tasks like finding similar documents, you’re leveraging technology rooted in early face-recognition methods — even though they apply to different modalities like images and text. This involves two steps:
- Creating embeddings: Transforming high-dimensional inputs into compact numerical vectors for similarity comparisons.
- Utilizing vector databases: Efficiently searching through millions of entries to find the closest matches.
