“…A lot of similarity/metric learning techniques [57,58,33,27,19] have been applied or designed to learn metrics, robust to light/view/pose changes, for person matching. The recent developments include soft and probabilistic patch matching for handling pose misalignment [4,3,36], similarity learning for dealing with probe and gallery images with different resolutions [24,17], connection with transfer learning [34,38], reranking inspired by the connection with image search [65,13], partial person matching [66], human-in-the-loop learning [30,46], and so on.…”