Active Label Refinement for Semantic Segmentation of Satellite Images

no code implementations • 12 Sep 2023 • Tuan Pham Minh, Jayan Wijesingha, Daniel Kottke, Marek Herde, Denis Huseljic, Bernhard Sick, Michael Wachendorf, Thomas Esch

Since these initial labels are partially erroneous, we use active learning strategies to cost-efficiently refine the labels in the second step.

Active Learning Segmentation +1

Probabilistic Active Learning for Active Class Selection

no code implementations • 9 Aug 2021 • Daniel Kottke, Georg Krempl, Marianne Stecklina, Cornelius Styp von Rekowski, Tim Sabsch, Tuan Pham Minh, Matthias Deliano, Myra Spiliopoulou, Bernhard Sick

In machine learning, active class selection (ACS) algorithms aim to actively select a class and ask the oracle to provide an instance for that class to optimize a classifier's performance while minimizing the number of requests.

Active Learning

Network Sensitivity of Systemic Risk

no code implementations • 11 May 2018 • Amanah Ramadiah, Domenico Di Gangi, D. Ruggiero Lo Sardo, Valentina Macchiati, Tuan Pham Minh, Francesco Pinotti, Mateusz Wilinski, Paolo Barucca, Giulio Cimini

In particular, we consider networks of varying density and with different block structures, and diversify as well in the details of the shock propagation dynamics.