Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ran Tao"'
Publikováno v:
ICPR
Proceedings of ICPR 2020: 25th International Conference on Pattern Recognition : Milan, 10-15 January 2021, 2685-2692
STARTPAGE=2685;ENDPAGE=2692;TITLE=Proceedings of ICPR 2020
Proceedings of ICPR 2020: 25th International Conference on Pattern Recognition : Milan, 10-15 January 2021, 2685-2692
STARTPAGE=2685;ENDPAGE=2692;TITLE=Proceedings of ICPR 2020
To account for appearance variations, tracking models need to be updated during the course of inference. However, updating the tracker model with adverse bounding box predictions adds an unavoidable bias term to the learning. This bias term, which we
Publikováno v:
CVPR
This paper introduces a novel anchor design to support anchor-based face detection for superior scale-invariant performance, especially on tiny faces. To achieve this, we explicitly address the problem that anchor-based detectors drop performance dra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f049b3fe0e066dc01e8cc235dd0a626e
Publikováno v:
CVPR
Proceedings 29th IEEE Conference on Computer Vision and Pattern Recognition : CVPR 2016: 26 June-1 July 2016, Las Vegas, Nevada, 1420-1429
STARTPAGE=1420;ENDPAGE=1429;TITLE=Proceedings 29th IEEE Conference on Computer Vision and Pattern Recognition : CVPR 2016
Proceedings 29th IEEE Conference on Computer Vision and Pattern Recognition : CVPR 2016: 26 June-1 July 2016, Las Vegas, Nevada, 1420-1429
STARTPAGE=1420;ENDPAGE=1429;TITLE=Proceedings 29th IEEE Conference on Computer Vision and Pattern Recognition : CVPR 2016
In this paper we present a tracker, which is radically different from state-of-the-art trackers: we apply no model updating, no occlusion detection, no combination of trackers, no geometric matching, and still deliver state-of-the-art tracking perfor