Embeddings and evaluating representations · MAAI7602 Applied Computer Vision

An encoder maps each image to a vector, its embedding. A good embedding places images with similar content near each other. It is judged with k-nearest neighbours, a linear probe or fine-tuning on a labelled task. What is an embedding, and how is the quality of a learned representation evaluated?

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