Lis, K., Rottmann, M., Mütze, A., Honari, S., Fua, P., & Salzmann, M. (2022). AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains.
Chicago Style (17th ed.) CitationLis, Krzysztof, Matthias Rottmann, Annika Mütze, Sina Honari, Pascal Fua, and Mathieu Salzmann. AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains. 2022.
MLA (9th ed.) CitationLis, Krzysztof, et al. AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains. 2022.
Warning: These citations may not always be 100% accurate.