Multi-task Learning with Attention for End-to-end Autonomous Driving

21 April 2021

Papers citing "Multi-task Learning with Attention for End-to-end Autonomous Driving"

5 / 5 papers shown

Title
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning Yuxiang Lu Shengcao Cao Yu-xiong Wang 34 1 0 18 Oct 2024
LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning Pedram Agand Mohammad Mahdavian Manolis Savva Mo Chen ViT 13 4 0 19 Oct 2023
DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous Vehicle Oskar Natan J. Miura 3DPC 8 1 0 13 Jul 2023
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline Peng Wu Xiaosong Jia Li Chen Junchi Yan Hongyang Li Yu Qiao 6 181 0 16 Jun 2022
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017