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MOTIP2: Spatial Priors for End-to-End Multi-Object Tracking

Paper recorded by Signals 4 on 2026-10-07 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-07 on arXiv · recorded by Signals 4 on 2026-10-08

Category: cs.CV · 计算机视觉 · first seen 2026-10-08

Abstract

End-to-end multi-object trackers have narrowed the gap with classical tracking-by-detection on association-difficult benchmarks. Yet they still make spatially implausible errors no classical tracker would, such as assigning one identity to objects on opposite sides of the frame. A model could learn to avoid them, but tracking annotations are scarce, so we encode spatial priors explicitly instead,

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#333 most recent of 756 cs.CV papers we have recorded · ↑ newer: Gaussian Density Splatting Network · ↓ older: Explicit Geometric Chain-of-Thought for Vision-Language-Action in Auto
Cite this page: MOTIP2: Spatial Priors for End-to-End Multi-Object Tracking: the #333 most recent of 756 cs.CV papers we have recorded (as of 2026-10-07). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/motip2-spatial-priors-for-end-to-end-multi-object-tracking.html
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