PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks

no code implementations • 18 Mar 2024 • Philip Matthias Winter, Maria Wimmer, David Major, Dimitrios Lenis, Astrid Berg, Theresa Neubauer, Gaia Romana De Paolis, Johannes Novotny, Sophia Ulonska, Katja Bühler

We argue that the notion of separating computation from memory by the means of transduction can act as a stepping stone for solving these issues.

Few-Shot Learning

Multi-scale attention-based instance segmentation for measuring crystals with large size variation

no code implementations • 8 Jan 2024 • Theresa Neubauer, Astrid Berg, Maria Wimmer, Dimitrios Lenis, David Major, Philip Matthias Winter, Gaia Romana De Paolis, Johannes Novotny, Daniel Lüftner, Katja Reinharter, Katja Bühler

We evaluate our method on a refractory raw material dataset of high-resolution images with large variation in crystal size and show that our model can be used to calculate the crystal size more accurately than existing methods.

Image Segmentation Instance Segmentation +2

Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications

no code implementations • 31 Mar 2021 • Philip Matthias Winter, Sebastian Eder, Johannes Weissenböck, Christoph Schwald, Thomas Doms, Tom Vogt, Sepp Hochreiter, Bernhard Nessler

Artificial Intelligence is one of the fastest growing technologies of the 21st century and accompanies us in our daily lives when interacting with technical applications.

BIG-bench Machine Learning Ethics