10 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.CV2019★ 10 cited
Divide and Conquer the Embedding Space for Metric Learning
Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler +1
Learning the embedding space, where semantically similar objects are located close together and dissimilar objects far apart, is a cornerstone of many computer vision applications.…
cs.CV2018★ 1 cited
Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning
Uta Büchler, Biagio Brattoli, Björn Ommer
Self-supervised learning of convolutional neural networks can harness large amounts of cheap unlabeled data to train powerful feature representations. As surrogate task, we jointly…