Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Songguo Jin"'
Publikováno v:
Symmetry, Vol 12, Iss 1, p 119 (2020)
People with disabilities (PWD) face a number of challenges such as obstacle avoidance or taking a minimum path to reach a destination while travelling or taking public transport, especially in airports or bus stations. In some cases, PWD, and specifi
Externí odkaz:
https://doaj.org/article/be85b47459734e02929cc11ff9454459
Publikováno v:
Cognitive Systems Research. 45:109-123
In this paper, we address the combination of the active learning (AL) and semi-supervised (SSL) learnings, called ASSL, to leverage the strong points of the both learning paradigms for improving the performance of object detection. Considering the pr
Publikováno v:
Symmetry, Vol 12, Iss 1, p 119 (2020)
Symmetry
Volume 12
Issue 1
Symmetry
Volume 12
Issue 1
People with disabilities (PWD) face a number of challenges such as obstacle avoidance or taking a minimum path to reach a destination while travelling or taking public transport, especially in airports or bus stations. In some cases, PWD, and specifi
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319488806
ECCV Workshops (2)
ECCV Workshops (2)
This paper presents a robust multi-class multi-object tracking (MCMOT) formulated by a Bayesian filtering framework. Multi-object tracking for unlimited object classes is conducted by combining detection responses and changing point detection (CPD) a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4af87c1e3fed1ab97db447692c746a67
https://doi.org/10.1007/978-3-319-48881-3_6
https://doi.org/10.1007/978-3-319-48881-3_6
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319488806
This paper presents a robust multi-class multi-object tracking (MCMOT) formulated by a Bayesian filtering framework. Multi-object tracking for unlimited object classes is conducted by combining detection responses and changing point detection (CPD) a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b32642307615806e1982a07b7079668f
https://doi.org/10.1007/978-3-319-48881-3
https://doi.org/10.1007/978-3-319-48881-3
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540465423
KES (3)
KES (3)
This paper proposes a hierarchical image context based adaptable classifier ensemble for efficient visual information processing under uneven illumination environments. In the proposed method, classifier ensemble is constructed in two stages: i) it d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96fa6f8f7ade6e216c2f279050dbfefd
https://doi.org/10.1007/11893011_16
https://doi.org/10.1007/11893011_16