Pavel Suma

MLLMs, without any training, can beat specialized models at image retrieval, especially when the target domain differs from the training data of those specialized models.

Achieve state-of-the-art image similarity generalization with a surprisingly simple, efficient, and interpretable model that operates on local descriptor correspondences.