Zobrazeno 1 - 10
of 11
pro vyhledávání: '"计算机视觉"'
Autor:
聂开琴, 倪郑威
Publikováno v:
Dianxin kexue, Vol 40, Iss 5, Pp 73-85 (2024)
针对单条文本描述生成的图像质量不高且存在结构错误的问题进行研究，采用多阶段生成对抗网络模型，并提出对不同文本序列进行插值操作，从多条文本描述中提取特征，以丰富给定的文
Externí odkaz:
https://doaj.org/article/29a447c042e34f229d0731f7a6a9a1b7
Publikováno v:
Jianzhu Gangjiegou Jinzhan, Vol 25, Pp 85-93 (2023)
钢结构在现代建筑中有着广泛应用，但钢材的耐腐蚀性较差，锈蚀将降低钢构件的承载力甚至影响结构安全。对钢构件防腐涂层进行定期检测与维护是保证钢结构耐腐蚀性能的主要方法之一
Externí odkaz:
https://doaj.org/article/6c4d043c8fc048aa861f14da46937c72
Autor:
余唯一, 陈涛, 张军平, 单洪明
Publikováno v:
智能科学与技术学报, Vol 5, Iss 3, Pp 293-312 (2023)
脑卒中病灶自动分割方法成为近几年的研究热点。为了全面研究用于MRI脑卒中病灶分割的深度学习方法的现状，针对脑卒中治疗的临床问题，进一步阐述了基于深度学习的病灶分割的研究背
Externí odkaz:
https://doaj.org/article/c66d5f11e3254a9d9df4788696fe981f
Autor:
靳聪, 王洁, 郭子淳, 王晶
Publikováno v:
智能科学与技术学报, Vol 5, Iss 3, Pp 397-405 (2023)
以视频为载体的信息传播方式兴盛发展，视频的音画同步逐渐成为衡量视频质量的重要标准。深度合成技术在国际传播领域不断进入大众视野，融合音画同步的唇形合成技术吸引了越来越多
Externí odkaz:
https://doaj.org/article/c8b05105baa644aea6d8715e5cf26ac1
Autor:
邓钇敏, 张旭龙, 司世景, 王健宗, 肖京
Publikováno v:
大数据, Vol 9, Iss 3, Pp 114-139 (2023)
随着元宇宙兴起，针对虚拟人形象化高效建模的需求日益迫切。从人类图像数据集中构建人类模型一直是计算机视觉的热门话题，其中3D虚拟人合成可以视作三维重建的子模块，重点在于对
Externí odkaz:
https://doaj.org/article/ff3bb8eec9ec49edad897352c3ddb95c
Publikováno v:
Tourism Review, 2021, Vol. 77, Issue 4, pp. 1203-1218.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/TR-06-2020-0287
Publikováno v:
Tourism Review, 2021, Vol. 77, Issue 4, pp. 1186-1202.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/TR-04-2020-0185
Publikováno v:
Guangtongxin yanjiu, Vol , Pp 28-30 (2015)
针对光纤端面制备中各种因素的影响会导致光纤端面产生缺陷的问题,研究了一种基于机器视觉技术的光纤端面检测系统。针对光纤端面显微图像的结构特点,使用图像处理算法拟合其中的椭
Externí odkaz:
https://doaj.org/article/8156f0c35475437792bd8726a1e3e38d
Autor:
Marek Cygan, Maciej Klimek, Marcin Mucha, Robert Bogucki, Christin Brangwynne Khan, Jan Kanty Milczek
Publikováno v:
Conservation Biology
Photo identification is an important tool for estimating abundance and monitoring population trends over time. However, manually matching photographs to known individuals is time‐consuming. Motivated by recent developments in image recognition, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::831ba9e009b6e5d0cb71b4fcb603993c
https://pubmed.ncbi.nlm.nih.gov/30259577
https://pubmed.ncbi.nlm.nih.gov/30259577
Autor:
Väisänen T; Digital Geography Lab, Department of Geosciences and Geography, University of Helsinki, Helsinki, 00014, Finland.; Helsinki Institute of Sustainability Science, University of Helsinki, Helsinki, 00014, Finland., Heikinheimo V; Digital Geography Lab, Department of Geosciences and Geography, University of Helsinki, Helsinki, 00014, Finland.; Helsinki Institute of Sustainability Science, University of Helsinki, Helsinki, 00014, Finland., Hiippala T; Digital Geography Lab, Department of Geosciences and Geography, University of Helsinki, Helsinki, 00014, Finland.; Helsinki Institute of Sustainability Science, University of Helsinki, Helsinki, 00014, Finland.; Department of Languages, University of Helsinki, Helsinki, 00014, Finland., Toivonen T; Digital Geography Lab, Department of Geosciences and Geography, University of Helsinki, Helsinki, 00014, Finland.; Helsinki Institute of Sustainability Science, University of Helsinki, Helsinki, 00014, Finland.; Conservation Science Group, University of Cambridge, Cambridge, CB2 3EJ, U.K.
Publikováno v:
Conservation biology : the journal of the Society for Conservation Biology [Conserv Biol] 2021 Apr; Vol. 35 (2), pp. 424-436. Date of Electronic Publication: 2021 Mar 22.