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AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains

Fuente: arXiv

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Bibliographic Details
Main Authors:	Lis, Krzysztof, Rottmann, Matthias, Mütze, Annika, Honari, Sina, Fua, Pascal, Salzmann, Mathieu
Format:	Preprint
Published:	2022
Subjects:	Computer Vision and Pattern Recognition I.4.6; I.4.8; I.5.4
Online Access:	Acceder al recurso
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