1.2k citations · 2.4k across the 17 of their papers we have counts for
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cs.LG2021★ 1 cited
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
Timo Milbich, Karsten Roth, Samarth Sinha +3
Deep Metric Learning (DML) aims to find representations suitable for zero-shot transfer to a priori unknown test distributions. However, common evaluation protocols only test a sin…
cs.CV2021★ 11 cited
Towards Total Recall in Industrial Anomaly Detection
Karsten Roth, Latha Pemula, Joaquin Zepeda +3
Being able to spot defective parts is a critical component in large-scale industrial manufacturing. A particular challenge that we address in this work is the cold-start problem: f…