Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Kangning Du"'
Publikováno v:
IET Image Processing, Vol 18, Iss 13, Pp 4127-4140 (2024)
Abstract The technology for face‐to‐sketch synthesis transforms optical face images into a sketch‐style format. However, traditional style losses are insufficient to discern the modal differences between optical and sketch domain images, leadin
Externí odkaz:
https://doaj.org/article/f10186b229c84c0d9b498675448730cc
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
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6103-6116 (2024)
Abstract Sketch face recognition has recently gained significant attention in the field of computer vision due to its ability to quickly identify matched pairs of optical and sketch images. This technology has the potential to greatly improve the eff
Externí odkaz:
https://doaj.org/article/047c0c7933854c74aeebfe122d80df72
Publikováno v:
PeerJ Computer Science, Vol 10, p e2184 (2024)
Transforming optical facial images into sketches while preserving realism and facial features poses a significant challenge. The current methods that rely on paired training data are costly and resource-intensive. Furthermore, they often fail to capt
Externí odkaz:
https://doaj.org/article/11199a8ca1b748768ccf9d8e803970ee
MFIHNet: Multiscale Feature Interaction Hybrid Network for Change Detection of Remote Sensing Images
Autor:
Lin Cao, Qi Liu, Shu Tian, Lihong Kang, Jing Tian, Xiangwei Xing, Kangning Du, Huanyu Bian, Peiran Song, Yanan Guo, Chunzhuo Fan, Chong Fu, Ye Zhang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16672-16691 (2024)
Remote sensing image change detection (RSCD) based on deep learning technology has made remarkable achievements. Meanwhile, the enhancement of network architectures and advancements in optimization algorithms have pushed RSCD performance to a higher
Externí odkaz:
https://doaj.org/article/7dc777dd37de485db5169eee1aa113b2
Publikováno v:
IET Computer Vision, Vol 17, Iss 8, Pp 962-976 (2023)
Abstract Sketch face recognition has a wide range of applications in criminal investigation, but it remains a challenging task due to the small‐scale sample and the semantic deficiencies caused by cross‐modality differences. The authors propose a
Externí odkaz:
https://doaj.org/article/36f6b2b033c14abf871370c79d1d0a93
Publikováno v:
Measurement + Control, Vol 56 (2023)
In recent years, sketch face recognition has a wide application in law enforcement agencies and criminals. Deep learning plays a crucial role in the recent developments of face recognition, however, it is challenging to employ deep learning methods f
Externí odkaz:
https://doaj.org/article/40b8a5845ad746948b48c7628aa8840a
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Older adults have both worse general cognition and worse social cognition. A frequent suggestion is that worse social cognition is due to worse general cognition. However, previous studies have often provided contradictory evidence. The curr
Externí odkaz:
https://doaj.org/article/2d844bda8d794ce3917ee481de1cb4e0
Autor:
Shaohui Ning, Kangning Du
Publikováno v:
IEEE Access, Vol 10, Pp 62920-62931 (2022)
The existing deep learning based bearing fault diagnosis models often adopts the default numeric value or manual adjustment for the learning rate of the optimizer, which leads to the low adaptive performance of the diagnosis model and can not adapt t
Externí odkaz:
https://doaj.org/article/e7bcacf185a54eb68fec5fdb0ec4d43e
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
The task of sketch face recognition refers to matching cross-modality facial images from sketch to photo, which is widely applied in the criminal investigation area. Existing works aim to bridge the cross-modality gap by inter-modality feature alignm
Externí odkaz:
https://doaj.org/article/eb30a7ee69504b44b90dd2f8515a7321