Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Jie-Bo Hou"'
Publikováno v:
IEEE Access, Vol 6, Pp 19419-19426 (2018)
Video has become one of the dominant data resources with the development of the Internet. As a result, the structured sorting of videos, which can be used for storage and extraction, represents a growing concern in the community. In particular, the t
Externí odkaz:
https://doaj.org/article/206b8a5432be440499c585c59030adac
Publikováno v:
Remote Sensing, Vol 13, Iss 7, p 1318 (2021)
Object detection is a significant and challenging problem in the study of remote sensing. Since remote sensing images are typically captured with a bird’s-eye view, the aspect ratios of objects in the same category may obey a Gaussian distribution.
Externí odkaz:
https://doaj.org/article/6bda992a0440425abe6a090cbc24b7f4
Publikováno v:
International Journal on Document Analysis and Recognition (IJDAR). 25:163-175
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 22:6890-6899
Text detection in complex scene images is a challenging task for intelligent transportation. Recently, anchor mechanisms are widely utilized in scene text detection tasks. However, in existing methods, anchors are generally predefined empirically, de
Publikováno v:
Neurocomputing. 461:310-318
Existing multi-orientation scene text detection methods generally contain two crucial components: regression prediction for text bounding boxes and classification prediction for text/non-text. However, these methods always regard classification predi
Publikováno v:
Neurocomputing. 454:135-151
Anchor mechanism is widely applied in scene text detection methods and demonstrates promising performance. However, existing anchor mechanisms have two major limitations, namely handcrafted anchor design and hard-wired anchor assignment. We propose a
In object detection, non-maximum suppression (NMS) methods are extensively adopted to remove horizontal duplicates of detected dense boxes for generating final object instances. However, due to the degraded quality of dense detection boxes and not ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6c5f80e9a927d134e45862a44e3dc37
http://arxiv.org/abs/2205.03562
http://arxiv.org/abs/2205.03562
Publikováno v:
IEEE Transactions on Image Processing. 29:7904-7916
Direct regression and anchor are the two mainly effective and prevailing mechanisms in the paradigm of scene text detection. However, the use of direct regression-based methods may be challenging during optimization without the help of anchors as ref
Segmentation-based methods have achieved great success for arbitrary shape text detection. However, separating neighboring text instances is still one of the most challenging problems due to the complexity of texts in scene images. In this paper, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3306e4e32015b8ef32a7746575c21e2
Publikováno v:
Remote Sensing; Volume 13; Issue 7; Pages: 1318
Remote Sensing, Vol 13, Iss 1318, p 1318 (2021)
Remote Sensing, Vol 13, Iss 1318, p 1318 (2021)
Object detection is a significant and challenging problem in the study of remote sensing. Since remote sensing images are typically captured with a bird’s-eye view, the aspect ratios of objects in the same category may obey a Gaussian distribution.