English(EN) SATOR: Backpropagation-Free 3D Test-Time Adaptation via Sample-Adaptive Token Routing

SATOR框架实现了无反向传播的3D测试时自适应

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-16 04:00

研究人员推出SATOR，一个用于将3D模型适应新数据分布的新框架，无需反向传播或多次前向传播。与依赖预定义令牌清除大小的先前方法不同，SATOR动态确定特定于样本的阈值和路由决策。该方法利用注意力和几何关系图来计算令牌异常分数，从而在各种3D基准测试中实现更高效、更准确的测试时自适应。 AI

影响这种新的3D测试时自适应方法可以提高模型在数据分布变化的现实场景中的鲁棒性。

排序理由这是一篇描述一种新的3D测试时自适应方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Inseok Kong, Geunyoung Jung, Jiyoung Jung · 2026-10-16 04:00

SATOR：无需反向传播的 3D 测试时自适应，通过样本自适应令牌路由实现

arXiv:2610.21367v1 Announce Type: new Abstract: Test-time adaptation (TTA) mitigates the performance degradation of source-pretrained models on unlabeled test data under distribution shifts. Recent backpropagation-free token-purging methods address 3D point cloud distribution shi…