Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Florek, Morris"'
Current image retrieval systems often face domain specificity and generalization issues. This study aims to overcome these limitations by developing a computationally efficient training framework for a universal feature extractor that provides strong
Externí odkaz:
http://arxiv.org/abs/2409.13513
Autor:
Tschirschwitz, David, Benz, Christian, Florek, Morris, Norderhus, Henrik, Stein, Benno, Rodehorst, Volker
The reliability of supervised machine learning systems depends on the accuracy and availability of ground truth labels. However, the process of human annotation, being prone to error, introduces the potential for noisy labels, which can impede the pr
Externí odkaz:
http://arxiv.org/abs/2309.09742
Autor:
Ullrich Köthe, Carsten Rother
This book constitutes the proceedings of the 45th Annual Conference of the German Association for Pattern Recognition, DAGM-GCPR 2023, which took place in Heidelberg, Germany, during September 19-22, 2023. The 40 full papers included in these procee