自动驾驶 - arXivDaily 专题

2510.09320 2025-10-13 cs.CV 57%

Hybrid-grained Feature Aggregation with Coarse-to-fine Language Guidance for Self-supervised Monocular Depth Estimation

Wenyao Zhang, Hongsi Liu, Bohan Li, Jiawei He, Zekun Qi, Yunnan Wang, Shengyang Zhao, Xinqiang Yu, Wenjun Zeng, Xin Jin

机构 * MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University（人工智能 MOE 实验室，上海交通大学人工智能学院）； Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, China（宁波数字孪生研究所，东技术研究所，宁波，中国）； Ningbo Key Laboratory of Spatial Intelligence and Digital Derivative, Ningbo, China（宁波空间智能与数字衍生关键实验室，宁波，中国）； University of Science and Technology of China（中国科学技术大学）； CASIA ； Tsinghua University（清华大学）

专题命中 BEV与占用：BEV(abstract)；分类 cs.CV

Comments ICCV 2025

2212.01163 2025-10-13 cond-mat.quant-gas hep-ph nlin.PS 50%

Anomalous scaling at non-thermal fixed points of the sine-Gordon model

Philipp Heinen, Aleksandr N. Mikheev, Thomas Gasenzer

专题命中 BEV与占用：occupancy(abstract)

Comments 22 pages, 2 figures. Accepted version

Journal ref Phys. Rev. A 107, 043303 (2023)

1. BEV与占用 2 篇

Hybrid-grained Feature Aggregation with Coarse-to-fine Language Guidance for Self-supervised Monocular Depth Estimation

Anomalous scaling at non-thermal fixed points of the sine-Gordon model