Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Xinhang Song"'
Publikováno v:
Ecology and Evolution, Vol 13, Iss 10, Pp n/a-n/a (2023)
Abstract The endangerment mechanisms of various species are a focus of studies on biodiversity and conservation biology. Hipposideros pomona is an endangered species, but the reasons behind its endangerment remain unclear. We investigated the endange
Externí odkaz:
https://doaj.org/article/3b3c9f8ff51946f59ba0e3ed698fe0a1
Autor:
Hanqiang Ouyang, Fanyu Meng, Jianfang Liu, Xinhang Song, Yuan Li, Yuan Yuan, Chunjie Wang, Ning Lang, Shuai Tian, Meiyi Yao, Xiaoguang Liu, Huishu Yuan, Shuqiang Jiang, Liang Jiang
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
BackgroundRecently, the Turing test has been used to investigate whether machines have intelligence similar to humans. Our study aimed to assess the ability of an artificial intelligence (AI) system for spine tumor detection using the Turing test.Met
Externí odkaz:
https://doaj.org/article/fa41f58455894d9d91449de5185dcde6
Publikováno v:
IEEE Transactions on Image Processing. 32:2608-2619
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8eecd3780216a30a5ccf516915b2226d
https://doi.org/10.1109/tip.2023.3263110
https://doi.org/10.1109/tip.2023.3263110
Autor:
Wei Liu1, Xinhang Song1, Ruge Wang1, Lingying Shuai2, Shuping Xiao3, Yanzhen Bu1 hsdbuyanzhen@163.com
Publikováno v:
Wildlife Research. 2024, Vol. 51 Issue 1, p1-7. 7p.
Publikováno v:
IEEE Transactions on Multimedia. 24:141-151
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e96ea2bd4a38272c63e78d591c6288e
https://doi.org/10.1109/tmm.2020.3046877
https://doi.org/10.1109/tmm.2020.3046877
Publikováno v:
IEEE Transactions on Multimedia. 22:1519-1530
Scene recognition has been a challenging task in the field of computer vision and multimedia for a long time. The current scene recognition works often extract object features and scene features through CNN, and combine these two types of features to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::724a1a9676247ba90f8658f10430425e
https://doi.org/10.1109/tmm.2019.2944241
https://doi.org/10.1109/tmm.2019.2944241
Publikováno v:
Neurocomputing. 395:212-221
Image caption approaches that use the global Convolutional Neural Network (CNN) features are not able to represent and describe all the important elements in complex scenes. In this paper, we propose to enrich the semantic representations of images a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::668912ef7dbf3e091a9c3f7a313d2120
https://doi.org/10.1016/j.neucom.2018.02.112
https://doi.org/10.1016/j.neucom.2018.02.112
Publikováno v:
IEEE Transactions on Image Processing. 29:7615-7628
Visual attention has been successfully applied in image captioning to selectively incorporate the most relevant areas to the language generation procedure. However, the attention in current image captioning methods is only guided by the hidden state
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3b075bcb33115b4fe326eaaecd40b24
https://doi.org/10.1109/tip.2020.3004729
https://doi.org/10.1109/tip.2020.3004729
Publikováno v:
IEEE Transactions on Image Processing. 29:525-537
Scene recognition is challenging due to the intra-class diversity and inter-class similarity. Previous works recognize scenes either with global representations or with the intermediate representations of objects. In contrast, we investigate more dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f4a47633c5dd8b373e95f7306cecfcc
https://doi.org/10.1109/tip.2019.2933728
https://doi.org/10.1109/tip.2019.2933728
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198410
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdd0ce871d7ba1ec9ad735a01904a7d5
https://doi.org/10.1007/978-3-031-19842-7_18
https://doi.org/10.1007/978-3-031-19842-7_18
