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Nikos Efthymiadis

2 accepted papers

2025

ILIAS: Instance-Level Image retrieval At Scale

CVPR 2025poster

This work introduces ILIAS, a new test dataset for Instance-Level Image retrieval At Scale. It is designed to evaluate the ability of current and future foundation models and retrieval techniques to recognize particular objects. The key benefits over existing datasets include large scale, domain div…

Cited by 1SourcePDFScholar
2025

Instance-Level Composed Image Retrieval

NeurIPS 2025poster

The progress of composed image retrieval (CIR), a popular research direction in image retrieval, where a combined visual and textual query is used, is held back by the absence of high-quality training and evaluation data. We introduce a new evaluation dataset, i-CIR, which, unlike existing datasets,…

Cited by 0SourceScholar