Downloads

Please find here the project Deliverables after their publication.

 

Deliverables

Deliverables

Publications

publications

  1. Oberdiek, Philipp and Rottmann, Matthias and Fink, Gernot A.: Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, pp. 328-329
  2. Schwarz, Katja and Liao, Yiyi and Niemeyer, Michael and Geiger, Andreas: GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis. In: Part of Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020). Presentation available here.
  3. Schutera, Mark and Hussein, Mostafa and Abhau, Jochen and Mikut, Ralf and Reischl, Markus: Night-to-Day: Online Image-to-Image Translation for Object Detection Within Autonomous Driving by Night. In: IEEE Transactions on Intelligent Vehicles
  4. Schutera, Mark and Hafner, Frank M. and Abhau, Jochen and Hagenmeyer, Veit and Mikut, Ralf and Reischl, Markus: Cuepervision: self-supervised learning for continuous domain adaptation without catastrophic forgetting. In: Vision and Image Computing as part of the special issue: Advances in Domain Adaptation for Computer Vision.
  5. Monka, Sebastian and Halilaj, Lavdim and Rettinger, Achim: A  Survey on Visual Transfer Learning using Knowledge Graphs. In: Semantic Web Journal (SWJ, IOS Press).
  6. Monka, Sebastian and Halilaj, Lavdim and Schmid, Stefan and Rettinger, Achim: ConTraKG: Contrastive-based Transfer Learning for Visual Object Recognition using Knowledge Graphs. In: arXiv.
  7. Sauer, Axel and Geiger, Andreas: Counterfactual Generative Networks. In: ICLR 2021 (International Conference on Learning Representations).

 

The publicly held presentations by the project will be listed here.

 

Presentations

presentations

Presentation of KI Delta Learning by project coordinator Mohsen Sefati at the joint event of the Federal Ministry for Economic Affairs and Energy and the VDA

Automobilindustrie-digital_04_Praesentation_KI-DL_M_Sefati.pdf(pdf:3 MB)

Project Materials

project-material

Press kit

You can find our press kit here:

Press kit

press

Press releases

Press releases of the project and our partners

Press releases

press

Media coverage

Media coverage of the project

Press Materials

press

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