Vision-Based Uncertainty-Aware Motion Planning based on Probabilistic Semantic Segmentation

14 September 2022

Papers citing "Vision-Based Uncertainty-Aware Motion Planning based on Probabilistic Semantic Segmentation"

5 / 5 papers shown

Title
iMacSR: Intermediate Multi-Access Supervision and Regularization in Training Autonomous Driving Models Wei-Bin Kou Guangxu Zhu Yichen Jin Shuai Wang Ming Tang Yik-Chung Wu 36 0 0 01 May 2025
FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding Wei-Bin Kou Qingfeng Lin Ming Tang Shuai Wang Guangxu Zhu Yik-Chung Wu 42 3 0 01 Jul 2024
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Yin Cui A. Srinivas Rui Qian Tsung-Yi Lin E. D. Cubuk Quoc V. Le Barret Zoph ISeg 223 966 0 13 Dec 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015