Grounded Correspondence maintains temporal consistency via deterministic bipartite matching on frozen backbone features instead of learned predictors, achieving competitive results on MOVi and YouTube-VIS with zero learnable temporal parameters.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1 , pages =
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Rethinking Temporal Consistency in Video Object-Centric Learning: From Prediction to Correspondence
Grounded Correspondence maintains temporal consistency via deterministic bipartite matching on frozen backbone features instead of learned predictors, achieving competitive results on MOVi and YouTube-VIS with zero learnable temporal parameters.