BirdSet: A Multi-Task Benchmark for Classification in Computational Avian Bioacoustics

1 code implementation • 15 Mar 2024 • Lukas Rauch, Raphael Schwinger, Moritz Wirth, René Heinrich, Jonas Lange, Stefan Kahl, Bernhard Sick, Sven Tomforde, Christoph Scholz

Data fragmentation and opacity across studies complicate a comprehensive evaluation of model performance.

Active Bird2Vec: Towards End-to-End Bird Sound Monitoring with Transformers

no code implementations • 14 Aug 2023 • Lukas Rauch, Raphael Schwinger, Moritz Wirth, Bernhard Sick, Sven Tomforde, Christoph Scholz

We propose a shift towards end-to-end learning in bird sound monitoring by combining self-supervised (SSL) and deep active learning (DAL).

Active Learning Decision Making

ActiveGLAE: A Benchmark for Deep Active Learning with Transformers

1 code implementation • 16 Jun 2023 • Lukas Rauch, Matthias Aßenmacher, Denis Huseljic, Moritz Wirth, Bernd Bischl, Bernhard Sick

Deep active learning (DAL) seeks to reduce annotation costs by enabling the model to actively query instance annotations from which it expects to learn the most.

Active Learning