ROADWork Dataset: Learning to Recognize, Observe, Analyze and Drive
Through Work Zones

ROADWork Dataset: Learning to Recognize, Observe, Analyze and Drive Through Work Zones

11 June 2024

Juan R. Alvarez-Padilla

Christoph Mertz

Srinivasa G. Narasimhan

Papers citing "ROADWork Dataset: Learning to Recognize, Observe, Analyze and Drive Through Work Zones"

6 / 6 papers shown

Title
DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models Xiaoyu Tian Junru Gu Bailin Li Yicheng Liu Yang Wang Chenxu Hu Kun Zhan Peng Jia Xianpeng Lang Hang Zhao VLM 59 122 0 19 Feb 2024
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection Mikhail Kennerley Jian-Gang Wang B. Veeravalli R. Tan ObjD 37 33 0 24 Mar 2023
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models Jiarui Xu Sifei Liu Arash Vahdat Wonmin Byeon Xiaolong Wang Shalini De Mello VLM 198 318 0 08 Mar 2023
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 380 4,010 0 28 Jan 2022
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset Scott Ettinger Shuyang Cheng Benjamin Caine Chenxi Liu Hang Zhao ... Jiquan Ngiam Vijay Vasudevan Alexander McCauley Jonathon Shlens Drago Anguelov 123 421 0 20 Apr 2021
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 217 835 0 13 Dec 2020