Image retrieval systems such as Google Lens have become indispensable for everyday tasks like traveling and shopping. In this project, students will investigate how a resource-efficient retrieval pipeline can be expanded and further refined. A significant emphasis will be placed on enhancing the current network's performance using the full suite of machine learning tools. Additionally, the project may delve into domain-specific retrieval tasks, fine-tune a newly developed loss function, employ various techniques for embedding dimensionality reduction, extend the existing dataset for efficient training, or design a user platform to leverage the existing retrieval pipeline.
- Trainer/in: Morris Benedikt Florek
- Trainer/in: David Eike Tschirschwitz
