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Volumn 2018-December, Issue , 2018, Pages 2104-2114

One-shot unsupervised cross domain translation

Author keywords

[No Author keywords available]

Indexed keywords

AUTO ENCODERS; COGNITIVE AGENTS; CROSS-DOMAIN; EXISTING DOMAINS; SINGLE IMAGES; TRAINING SAMPLE; TRANSLATION METHOD; TWO-STEP PROCESS;

EID: 85064815431     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (148)

References (31)
  • 13
  • 15
    • 41149090667 scopus 로고    scopus 로고
    • Inducing translation lexicons via diverse similarity measures and bridge languages
    • Association for Computational Linguistics
    • Schafer, C., Yarowsky, D.: Inducing translation lexicons via diverse similarity measures and bridge languages. In: proceedings of the 6th conference on Natural language learning-Volume 20, Association for Computational Linguistics (2002) 1-7
    • (2002) Proceedings of the 6th Conference on Natural Language Learning-Volume , vol.20 , pp. 1-7
    • Schafer, C.1    Yarowsky, D.2
  • 29
    • 84990854047 scopus 로고    scopus 로고
    • Perceptual losses for real-time style transfer and super-resolution
    • Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II
    • Johnson, J., Alahi, A., Fei-Fei, L.: Perceptual losses for real-time style transfer and super-resolution. In: Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II. (2016) 694-711
    • (2016) Computer Vision - ECCV 2016 - 14th European Conference , pp. 694-711
    • Johnson, J.1    Alahi, A.2    Fei-Fei, L.3
  • 30
    • 84908696175 scopus 로고    scopus 로고
    • Spatial pattern templates for recognition of objects with regular structure
    • Tyleček, R., Šára, R.: Spatial pattern templates for recognition of objects with regular structure. In: German Conference on Pattern Recognition. (2013)
    • (2013) German Conference on Pattern Recognition
    • Tyleček, R.1    Šára, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.