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Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 6, Iss 4, Pp 405-416 (2021)
In the era of automatic task processing or designing complex algorithms, to analyse data, it is always pertinent to find real‐life solutions using cutting‐edge tools and techniques to generate insights into the data. The data‐driven machine lea
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 6, Iss 4, Pp 417-425 (2021)
Relation extraction between entity pairs is an increasingly critical area in natural language processing. Recently, the pre‐trained bidirectional encoder representation from transformer (BERT) performs excellently on the text classification or sequ
Publikováno v:
IET Image Processing, Vol 15, Iss 14, Pp 3487-3497 (2021)
Wu, L, Li, Z, Xiang, Y, Jian, M & Shen, J 2021, ' Latent label mining for group activity recognition in basketball videos ', IET Image Processing . https://doi.org/10.1049/ipr2.12265
Wu, L, Li, Z, Xiang, Y, Jian, M & Shen, J 2021, ' Latent label mining for group activity recognition in basketball videos ', IET Image Processing . https://doi.org/10.1049/ipr2.12265
Motion information has been widely exploited for group activity recognition in sports video. However, in order to model and extract the various motion information between the adjacent frames, existing algorithms only use the coarse video‐level labe
Autor:
Huamin Zhao, Olarewaju Mubashiru Lawal
Publikováno v:
IET Image Processing, Vol 15, Iss 13, Pp 3071-3079 (2021)
The detection of fruit, including accuracy and speed is of great significance for robotic harvesting. Nevertheless, attributes such as illumination variation, occlusion, and so on have made fruit detection a challenging task. A robust YOLOFig detecti
Autor:
Anum Sattar, Hayat Ullah, Bashir Ahmad, Iqra Sana, Saima Akbar, Aurangzeb Khan, Muhammad Zubair Asghar
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 6, Iss 3, Pp 251-264 (2021)
In the current era of social media, different platforms such as Twitter and Facebook have frequently been used by leaders and the followers of political parties to participate in political events, campaigns, and elections. The acquisition, analysis,
Publikováno v:
IET Image Processing, Vol 15, Iss 11, Pp 2399-2411 (2021)
The high‐level semantic information extracted from the pedestrian attribute feature is an important element for pedestrian recognition. Pedestrian attribute recognition plays an important role in both intelligent video surveillance and pedestrian r
Publikováno v:
IET Image Processing, Vol 15, Iss 10, Pp 2192-2201 (2021)
Large‐scale variations may cause a serious problem in crowd counting. In recent years, most methods for this problem use convolutional neural networks with a fixed scale for encoding and decoding image features. The scale of the convolutional layer
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 6, Iss 2, Pp 155-174 (2021)
With the speeding up of social activities, rapid changes in lifestyles, and an increase in the pressure in professional fields, people are suffering from several types of sleep‐related disorders. It is a very tedious task for clinicians to monitor
Publikováno v:
IET Image Processing, Vol 15, Iss 7, Pp 1518-1529 (2021)
In this article, an exclusive‐disjunction‐based detection of neovascularisation (NV), which is the formation of new blood vessels on the retinal surfaces, is presented. These vessels, being thin and fragile, get ruptured easily leading to permane
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 6, Iss 1, Pp 55-71 (2021)
With the development of location‐based services and Big data technology, vehicle map matching techniques are growing rapidly, which is the fundamental techniques in the study of exploring global positioning system (GPS) data. The pre‐processed GP