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MotionSync: Non-Causal Refinement of Causal Tracker for Label-Efficient 3D Perception

Paper recorded by Signals 4 on 2026-08-30 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-30 on arXiv · recorded by Signals 4 on 2026-09-01

Category: cs.CV · 计算机视觉 · first seen 2026-09-01

Abstract

Three-dimensional box-and-track annotation is the cost bottleneck in autonomous-driving data engines, and the offline systems built to relieve it replace the online perception stack outright, so a team needing both regimes maintains and reconciles two. MotionSync makes the causal/non-causal boundary an explicit architectural seam instead. A strictly causal tracker, built on a strong published base

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#214 most recent of 237 cs.CV papers we have recorded · ↑ newer: TRINITY: A Multi-Perspective Benchmark for Personal-Style Video Highli · ↓ older: NepScript Genesis: Neural Architecture Search for Handwritten Devanaga
Cite this page: MotionSync: Non-Causal Refinement of Causal Tracker for Label-Efficient 3D Perception: the #214 most recent of 237 cs.CV papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/motionsync-non-causal-refinement-of-causal-tracker-for-label-efficient-3d-percep.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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