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arXiv Computer Vision By Jiuming Liu, Jianing Li, Mengmeng Liu, Hongyang He, Hesheng Wang, Per Ola Kristensson

MESSENGER: Memory-Enhanced Sequential Scene Flow Estimation via Autoregressive Next-Frame Forecasting

Read the original on arXiv Computer Vision →

The paper introduces MESSENGER, a memory‑enhanced sequential scene flow estimation framework that uses a memory buffer to store past flow estimates and latent states. By retrieving and correlating these stored flows for each new frame, the method performs next‑frame forecasting and incorporates an uncertainty‑aware reweighting module to reduce error accumulation. Experiments on nuScenes and Argoverse 2 show significant improvements, reducing EPE3D by 71.6% and 67.7% respectively in long‑horizon predictions.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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