Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations ↗
Visual DNA represents images and datasets through distributions of neuron activations in a frozen neural network. These compact representations allow comparisons that focus on selected visual properties, supporting dataset analysis, evaluation of synthetic imagery, and the selection of data for transfer learning.