Search Results for author: Martin S. Zinkernagel

Found 1 papers, 0 papers with code

Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns

no code implementations CVPR 2023 Javier Gamazo Tejero, Martin S. Zinkernagel, Sebastian Wolf, Raphael Sznitman, Pablo Márquez Neila

However, for any new domain application looking to use weak supervision, the dataset builder still needs to define a strategy to distribute full segmentation and other weak annotations.

Segmentation Transfer Learning

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