Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source Domain

Author:

Saranrittichai PiyapatORCID,Mummadi Chaithanya KumarORCID,Blaiotta ClaudiaORCID,Munoz MauricioORCID,Fischer VolkerORCID

Publisher

Springer Nature Switzerland

Reference31 articles.

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3. Bai, X., Liu, W., Tu, Z.: Integrating contour and skeleton for shape classification. In: 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, pp. 360–367. IEEE (2009)

4. Bengio, Y., Courville, A., Vincent, P.: Representation learning: A review and new perspectives. IEEE Trans. Pattern Anal. Mach. Intell. 35(8), 1798–1828 (2013)

5. Chang, W.G., You, T., Seo, S., Kwak, S., Han, B.: Domain-specific batch normalization for unsupervised domain adaptation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 7354–7362 (2019)

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