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cs.CV2024
Efficient and Discriminative Image Feature Extraction for Universal Image Retrieval
Morris Florek, David Tschirschwitz, Björn Barz +1
Current image retrieval systems often face domain specificity and generalization issues. This study aims to overcome these limitations by developing a computationally efficient tra…
cs.CV2024
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations
David Tschirschwitz, Volker Rodehorst
Annotation errors are a challenge not only during training of machine learning models, but also during their evaluation. Label variations and inaccuracies in datasets often manifes…