  In this report, we present the technical details of our submission to the
EPIC-Kitchens-100 Multi-Instance Retrieval Challenge 2023. To participate in
the challenge, we ensembled two models trained with two different loss
functions on 25% of the training data. Our submission, visible on the public
leaderboard, obtains an average score of 56.81% nDCG and 42.63% mAP.

Computer Vision and Pattern Recognition