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DRIV100: In-The-Wild Multi-Domain Dataset and Evaluation for Real-World
  Domain Adaptation of Semantic Segmentation
v1v2 (latest)

DRIV100: In-The-Wild Multi-Domain Dataset and Evaluation for Real-World Domain Adaptation of Semantic Segmentation

30 January 2021
Haruya Sakashita
Christoph Flothow
Noriko Takemura
Yusuke Sugano
ArXiv (abs)PDFHTML

Papers citing "DRIV100: In-The-Wild Multi-Domain Dataset and Evaluation for Real-World Domain Adaptation of Semantic Segmentation"

2 / 2 papers shown
Title
A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality,
  and a Future Outlook
A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook
Mingyu Liu
Ekim Yurtsever
Jonathan Fossaert
Xingcheng Zhou
Walter Zimmer
Yuning Cui
B. L. Žagar
Alois Knoll
157
40
0
02 Jan 2024
SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather,
  Daytime and Viewpoints
SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints
Paolo Testolina
F. Barbato
Umberto Michieli
M. Giordani
Pietro Zanuttigh
Michele Zorzi
67
35
0
20 Apr 2022
1