Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Hong Tae Choi"'
Publikováno v:
IEEE Access, Vol 9, Pp 2496-2507 (2021)
Estimating semantic correspondence between pairs of images can be challenging as a result of intra-class variation, background clutter, and repetitive patterns. This paper proposes a convolutional neural network (CNN) that attempts to learn rich sema
Externí odkaz:
https://doaj.org/article/2cf3063ed41d4160964ec77614c99663
Publikováno v:
Sensors, Vol 21, Iss 8, p 2842 (2021)
The development of deep learning has achieved great success in object detection, but small object detection is still a difficult and challenging task in computer vision. To address the problem, we propose an improved single-shot multibox detector (SS
Externí odkaz:
https://doaj.org/article/50417d5e6b2447fd86dc46ca30bc03b0
Publikováno v:
IEEE Access, Vol 9, Pp 2496-2507 (2021)
Estimating semantic correspondence between pairs of images can be challenging as a result of intra-class variation, background clutter, and repetitive patterns. This paper proposes a convolutional neural network (CNN) that attempts to learn rich sema
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdd56a4e05c15fca64dc319c50a1abae
https://doi.org/10.1109/access.2020.3046845
https://doi.org/10.1109/access.2020.3046845
Publikováno v:
Sensors, Vol 21, Iss 2842, p 2842 (2021)
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 8
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 8
The development of deep learning has achieved great success in object detection, but small object detection is still a difficult and challenging task in computer vision. To address the problem, we propose an improved single-shot multibox detector (SS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17d6d963186220733afe81cb2ec5bfe9
https://pubmed.ncbi.nlm.nih.gov/33920696
https://pubmed.ncbi.nlm.nih.gov/33920696