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It is found that, despite performing poorly in zero-shot matching, especially in later layers, feed-forward reconstruction models provide strong representations for linear probing and full matching pipelines, and their raw predictions alone enable competitive matching, albeit only under moderate viewpoint changes and modality gaps.
Gekko turns the challenge of monocular signals into a powerful co-visibility detector, achieving unprecedented accuracy in 3D vision tasks without the need for ground-truth annotations.
Attention's quadratic scaling problem? Solved: this new Polynomial Mixer (PoM) matches attention performance at linear complexity across diverse tasks.
