메뉴 건너뛰기




Volumn , Issue , 2018, Pages 3618-3626

Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; ELECTRICAL ENGINEERING; PATTERN RECOGNITION; SOFTWARE ENGINEERING;

EID: 85058552795     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2018.00381     Document Type: Conference Paper
Times cited : (287)

References (26)
  • 20
    • 80052885969 scopus 로고    scopus 로고
    • Automatic adaptation of a generic pedestrian detector to a specific traffic scene
    • M. Wang and X. Wang. Automatic adaptation of a generic pedestrian detector to a specific traffic scene. In IEEE Conference on Computer Vision and Pattern Recognition, pages 3401-3408, 2011.
    • (2011) IEEE Conference on Computer Vision and Pattern Recognition , pp. 3401-3408
    • Wang, M.1    Wang, X.2
  • 22
    • 85062889552 scopus 로고    scopus 로고
    • Learning fine-grained features via a CNN tree for large-scale classification
    • Z. Wang, X. Wang, and G. Wang. Learning fine-grained features via a CNN tree for large-scale classification. Neurocomputing, 2017.
    • (2017) Neurocomputing
    • Wang, Z.1    Wang, X.2    Wang, G.3
  • 23
    • 33745943636 scopus 로고    scopus 로고
    • Detection of multiple, partially occluded humans in a single image by Bayesian combination of edgelet part detectors
    • B. Wu and R. Nevatia. Detection of multiple, partially occluded humans in a single image by Bayesian combination of edgelet part detectors. In IEEE International Conference on Computer Vision, volume 1, pages 90-97, 2005.
    • (2005) IEEE International Conference on Computer Vision , vol.1 , pp. 90-97
    • Wu, B.1    Nevatia, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.