Effective Use of Synthetic Data for Urban Scene Semantic Segmentation

Fatemeh Sadat Saleh; Mohammad Sadegh Aliakbarian; Mathieu Salzmann; Lars Petersson; José M. Alvarez

doi:10.1007/978-3-030-01216-8_6

ScienceGate Book Chapters

BOOK-CHAPTER

Effective Use of Synthetic Data for Urban Scene Semantic Segmentation

Fatemeh Sadat Saleh Mohammad Sadegh Aliakbarian Mathieu Salzmann Lars Petersson José M. Alvarez

Year: 2018 Lecture notes in computer science Pages: 86-103 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-01216-8_6

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Synthetic data Segmentation Artificial intelligence Domain adaptation Training set Domain (mathematical analysis) Computer vision Adaptation (eye) Image segmentation Image (mathematics) Pattern recognition (psychology)

Metrics

169

Cited By

11.47

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Effective Use of Synthetic Data for Urban Scene Semantic Segmentation

Metrics

Citation History

Topics

Related Documents

Urban scene semantic segmentation with insufficient labeled data

Scene adaptation network for visual-thermal urban scene semantic segmentation

Semantic motion segmentation for urban dynamic scene understanding

Enhancing semantic segmentation for urban accessibility using high-fidelity synthetic data

Semantic Foggy Scene Understanding with Synthetic Data