Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains

Konferenzbeitrag › Konferenzpaper › 2023

Zitation

Reiß, Simon; Seibold, Constantin; Freytag, Alexander; Rodner, Erik; Stiefelhagen, Rainer: Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains. In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Vancouver: IEEE 2023, S. 15495-15506.

DOI / URN

10.1109/CVPR52729.2023.01487

Link

https://cvpr2023.thecvf.com/

Sprache

Englisch

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BibTeX / RIS