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Volumn 2016-December, Issue , 2016, Pages 3234-3243

The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; NEURAL NETWORKS; PATTERN RECOGNITION; PIXELS; SEMANTICS; VIRTUAL REALITY; VISION;

EID: 84986265711     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2016.352     Document Type: Conference Paper
Times cited : (2591)

References (45)
  • 37
    • 85031103438 scopus 로고    scopus 로고
    • From virtual to reality: Fast adaptation of virtual object detectors to real domains
    • B. Sun and K. Saenko. From virtual to reality: Fast adaptation of virtual object detectors to real domains. In British Machine Vision Conf. (BMVC), 2014.
    • (2014) British Machine Vision Conf. (BMVC)
    • Sun, B.1    Saenko, K.2
  • 38
    • 85009841747 scopus 로고    scopus 로고
    • U. Technologies. Unity Development Platform
    • U. Technologies. Unity Development Platform.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.