Zobrazeno 1 - 10
of 1 114
pro vyhledávání: '"Weak supervision"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Weakly supervised video anomaly detection aims to detect anomalous events with only video-level labels. In the absence of boundary information for anomaly segments, most existing methods rely on multiple instance learning. In these approache
Externí odkaz:
https://doaj.org/article/a7f5976dbf9c4507932c4beffc5d3f72
Quantifying morphologies of developing neuronal cells using deep learning with imperfect annotations
Publikováno v:
IBRO Neuroscience Reports, Vol 16, Iss , Pp 118-126 (2024)
The functionality of human intelligence relies on the interaction and health of neurons, hence, quantifying neuronal morphologies can be crucial for investigating the functionality of the human brain. This paper proposes a deep learning (DL) based me
Externí odkaz:
https://doaj.org/article/65317f08c7a24bb193b878b7f45ccef9
Publikováno v:
IET Image Processing, Vol 18, Iss 5, Pp 1119-1131 (2024)
Abstract This paper focuses on the intelligent detection of prohibited items in X‐ray images during the security checking process. An intelligent semantic segmentation model of prohibited items in X‐ray images is proposed based on the attention
Externí odkaz:
https://doaj.org/article/bf54fcb2b12e4627a542d253d646decb
Autor:
Xiangda Lei, Haiyan Guan, Lingfei Ma, Jiacheng Liu, Yogntao Yu, Lanying Wang, Zhen Dong, Huan Ni, Jonathan Li
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103970- (2024)
Mobile laser scanning (MLS) point clouds have increasingly been a significant data source for acquiring accurate three-dimensional (3D) semantic information from complex scenes. However, most current point cloud semantic segmentation methods heavily
Externí odkaz:
https://doaj.org/article/5ec932dc32b54f4398301ff599969174
Autor:
Jia-Wen Lin, Ling-Jie Lin, Feng Lu, Tai-Chen Lai, Jing Zou, Lin-Ling Guo, Zhi-Ming Lin, Li Li
Publikováno v:
International Journal of Ophthalmology, Vol 17, Iss 3, Pp 401-407 (2024)
AIM: To investigate a pioneering framework for the segmentation of meibomian glands (MGs), using limited annotations to reduce the workload on ophthalmologists and enhance the efficiency of clinical diagnosis. METHODS: Totally 203 infrared meibomian
Externí odkaz:
https://doaj.org/article/17d415db78d8455d8a306aae33a7eb72
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 1, Pp 239-249 (2024)
Abstract Recently, weak supervision has received growing attention in the field of salient object detection due to the convenience of labelling. However, there is a large performance gap between weakly supervised and fully supervised salient object d
Externí odkaz:
https://doaj.org/article/6252099d801c46c2b8d874fd00b47072
Autor:
Nan Su
Publikováno v:
IEEE Access, Vol 12, Pp 159833-159846 (2024)
We have developed a classification method that segments a large group of Amazon or TikTok users into distinct categories, or “genres,” based on their shared purchasing behaviors, such as preferences for consumer electronics or household items. Ou
Externí odkaz:
https://doaj.org/article/7cb328e61cb44dc280780efeb1ce2315
Publikováno v:
IEEE Access, Vol 12, Pp 77104-77113 (2024)
Cervical cancer is a malignancy that significantly impacts women’s health. Liquid-based thin-layer cytology examination is presently the predominant method for cervical cancer cell detection. Traditional identification of pathological images of cer
Externí odkaz:
https://doaj.org/article/3da70aa400124909baa6686e6d115c61
Publikováno v:
IEEE Access, Vol 12, Pp 27709-27722 (2024)
The available dialectal Arabic linguistic resources are very limited in their coverage of Arabic dialects, particularly the Kuwaiti dialect. This shortage of linguistic resources creates struggles for researchers in the Natural Language Processing (N
Externí odkaz:
https://doaj.org/article/f1381057a6a84870853d8fe93592df9d
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 9696 (2024)
Temporal grounding involves identifying the target moment based on the provided sentence in an untrimmed video. In weakly supervised temporal grounding studies, existing temporal sentence grounding methods face challenges in (1) learning semantic ali
Externí odkaz:
https://doaj.org/article/2ab0241ffb1a4418bb8dbb81498af06d