Attributable Visual Similarity Learning
Attributable Visual Similarity Learning
This paper proposes an attributable visual similarity learning (AVSL) framework for a more accurate and ex-plainable similarity measure between images. Most existing similarity learning methods exacerbate the unexplain-ability by mapping each sample to a single point in the em-bedding space with a distance metric (e.g., Mahalanobis distance, Euclidean distance). Motivated …