Contribution Title

First Author1[0000-1111-2222-3333] and Second Author2[1111-2222-3333-4444]

1 Princeton University, Princeton NJ 08544, USA

2 Springer Heidelberg, Tiergartenstr. 17, 69121 Heidelberg, Germany
lncs@springer.com

Data description

This section is supposed to contain a brief description of the source dataset(s) employed for training the model.

For example:

Which public datasets have been used?

How data has been generated? (Generative AI model or image processing methods employed)

Proposed method

This section is supposed to contain a brief description of the proposed method for (Track 1) Domain Generalization or (Track 2) Domain Adaptation.

For example:

Which architecture has been employed?

Was the model pretrained on a public dataset (e.g. ImageNet, …)?

Which learning technique has been adopted (e.g. adversarial training, …)?

Maximum length of the report: 2 pages, references included.

References

Author, F.: Article title. Journal 2(5), 99–110 (2016)

Author, F., Author, S.: Title of a proceedings paper. In: Editor, F., Editor, S. (eds.) CONFERENCE 2016, LNCS, vol. 9999, pp. 1–13. Springer, Heidelberg (2016)

Author, F., Author, S., Author, T.: Book title. 2nd edn. Publisher, Location (1999)

Author, F.: Contribution title. In: 9th International Proceedings on Proceedings, pp. 1–2. Publisher, Location (2010)

LNCS Homepage, http://www.springer.com/lncs, last accessed 2023/06/20