Self-Supervised Multi-Frame Neural Scene Flow

arXiv:2403.16116v1 Announce Type: cross
Abstract: Neural Scene Flow Prior (NSFP) and Fast Neural Scene Flow (FNSF) have shown remarkable adaptability in the context of large out-of-distribution autonomous driving. Despite their success, the underlying reasons for their astonishing generalization capabilities remain unclear. Our research addresses this gap by examining the generalization capabilities of NSFP through the lens of uniform stability, revealing that its performance is inversely proportional to the number of input point clouds. This finding sheds light on NSFP's effectiveness …

abstract adaptability arxiv autonomous autonomous driving capabilities context cs.ai cs.cv cs.lg distribution driving flow gap prior research success through type