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Volumn 2017-December, Issue , 2017, Pages 4078-4088

Prototypical networks for few-shot learning

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTING DISTANCES; DESIGN DECISIONS; INDUCTIVE BIAS; LIMITED DATA; METRIC SPACES; SHOT CLASSIFICATION; STATE OF THE ART; TRAINING SETS;

EID: 85046993347     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8062)

References (36)
  • 29
    • 80455158726 scopus 로고    scopus 로고
    • Learning a nonlinear embedding by preserving class neighbourhood structure
    • Ruslan Salakhutdinov and Geoffrey E. Hinton. Learning a nonlinear embedding by preserving class neighbourhood structure. In AISTATS, pages 412-419, 2007.
    • (2007) AISTATS , pp. 412-419
    • Salakhutdinov, R.1    Hinton, G.E.2
  • 35
    • 84990032583 scopus 로고    scopus 로고
    • A discriminative feature learning approach for deep face recognition
    • Springer
    • Yandong Wen, Kaipeng Zhang, Zhifeng Li, and Yu Qiao. A discriminative feature learning approach for deep face recognition. In European Conference on Computer Vision, pages 499-515. Springer, 2016.
    • (2016) European Conference on Computer Vision , pp. 499-515
    • Wen, Y.1    Zhang, K.2    Li, Z.3    Qiao, Y.4
  • 36
    • 84990056314 scopus 로고    scopus 로고
    • Zero-shot recognition via structured prediction
    • Springer
    • Ziming Zhang and Venkatesh Saligrama. Zero-shot recognition via structured prediction. In European Conference on Computer Vision, pages 533-548. Springer, 2016.
    • (2016) European Conference on Computer Vision , pp. 533-548
    • Zhang, Z.1    Saligrama, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.