Advanced School for Computing and Imaging (ASCI)

ASCI office
Delft University of Technology
Building 28, room 04.E120
Van Mourik Broekmanweg 6
2628 XE – DELFT, The Netherlands

P: +31 15 27 88032

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Monday, Tuesday, Thursday: 10:00 – 15:00


The ASCI office is located at the Delft University of Technology campus.  It is easily accessible by bicycle, public transport and car. The numbers of buildings can help you find your way around the campus. Make sure you remember the name and building number of your destination.

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Learning visual similarities robust to bias

Learning visual similarities robust to bias

Author : William Eric Thong
Promotor(s) : Prof.dr. C.G.M. Snoek, A.W.M. Smeulders
University : UVA
Year of publication : 2022
Link to repository : Link to thesis


This thesis investigates how visual similarities help to learn models robust to bias for computer vision tasks. Models should be able to adapt constantly to new and changing environments without being biased to what they have seen during training. Throughout this thesis, we focus on the research question: how to learn visual similarities robust to bias? We explore this question through the multiple facets of biases with a common theme on visual similarities to address them. We start with categorization across multiple domains, then investigate the ability to retrieve seen and unseen attribute combinations, followed by the study of the confidence of image classifiers towards seen classes, and finally the identification and mitigation of adverse predictions in image classifiers.