no code implementations • 8 Feb 2023 • Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox
Active learning is particularly of interest for semantic segmentation, where annotations are costly.
1 code implementation • CVPR 2023 • María A. Bravo, Sudhanshu Mittal, Simon Ging, Thomas Brox
The objective of the novel task and benchmark is to probe object-level attribute information learned by vision-language models.
1 code implementation • 12 May 2022 • Maria A. Bravo, Sudhanshu Mittal, Thomas Brox
In this work, we propose an open-vocabulary object detection method that, based on image-caption pairs, learns to detect novel object classes along with a given set of known classes.
1 code implementation • 18 Feb 2021 • Sudhanshu Mittal, Silvio Galesso, Thomas Brox
Contemporary neural networks are limited in their ability to learn from evolving streams of training data.
no code implementations • 11 Dec 2019 • Sudhanshu Mittal, Maxim Tatarchenko, Özgün Çiçek, Thomas Brox
Active learning aims to reduce the high labeling cost involved in training machine learning models on large datasets by efficiently labeling only the most informative samples.
1 code implementation • 15 Aug 2019 • Sudhanshu Mittal, Maxim Tatarchenko, Thomas Brox
The ability to understand visual information from limited labeled data is an important aspect of machine learning.