Local All-Pair Correspondence for Point Tracking
Authors: name: Seokju Cho, name: Jiahui Huang, name: Jisu Nam, name: Honggyu An, name: Seungryong Kim, name: Joon-Young Lee

We introduce LocoTrack, a highly accurate and efficient model designed for
the task of tracking any point (TAP) across video sequences. Previous
approaches in this task often rely on local 2D correlation maps to establish
correspondences from a point in the query image to a local region in the target
image, which often struggle with homogeneous regions or repetitive features,
leading to matching ambiguities. LocoTrack overcomes this challenge with a
novel approach that utilizes all-pair correspondences across regions, i.e.,
local 4D correlation, to establish precise correspondences, with bidirectional
correspondence and matching smoothness significantly enhancing robustness
against ambiguities. We also incorporate a lightweight correlation encoder to
enhance computational efficiency, and a compact Transformer architecture to
integrate long-term temporal information. LocoTrack achieves unmatched accuracy
on all TAP-Vid benchmarks and operates at a speed almost 6 times faster than
the current state-of-the-art.