Zobrazeno 1 - 10
of 1 003
pro vyhledávání: '"Yin, JianPing"'
Models based on U-like structures have improved the performance of medical image segmentation. However, the single-layer decoder structure of U-Net is too "thin" to exploit enough information, resulting in large semantic differences between the encod
Externí odkaz:
http://arxiv.org/abs/2309.03686
Publikováno v:
In Polymer Testing November 2024 140
Publikováno v:
In Science of the Total Environment 1 December 2024 954
Although deep neural networks (DNNs) enable great progress in video abnormal event detection (VAD), existing solutions typically suffer from two issues: (1) The localization of video events cannot be both precious and comprehensive. (2) The semantics
Externí odkaz:
http://arxiv.org/abs/2108.02356
Publikováno v:
In Heliyon 15 April 2024 10(7)
Autor:
Lin, Qinning, Ma, Jie, Coker, James, Pang, Renjun, Wang, Zesen, Furneaux, J.E., Yin, Jianping, Yang, Tao
Publikováno v:
In Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 15 April 2024 311
Autor:
Wang, Siqi, Liu, Jiyuan, Yu, Guang, Liu, Xinwang, Zhou, Sihang, Zhu, En, Yang, Yuexiang, Yin, Jianping
One-class classification (OCC), which models one single positive class and distinguishes it from the negative class, has been a long-standing topic with pivotal application to realms like anomaly detection. As modern society often deals with massive
Externí odkaz:
http://arxiv.org/abs/2104.13000
Autor:
Sun, Tianhe, Vander Heiden, Jason A., Gao, Xia, Yin, Jianping, Uttarwar, Salil, Liang, Wei-Ching, Jia, Guiquan, Yadav, Rajbharan, Huang, Zhiyu, Mitra, Mayurranjan, Halpern, Wendy, Bender, Hannah S., Brightbill, Hans D., Wu, Yan, Lupardus, Patrick, Ramalingam, Thirumalai, Arron, Joseph R.
Publikováno v:
In Med 9 February 2024 5(2):132-147
Publikováno v:
In Nano Materials Science February 2024 6(1):106-114
As a vital topic in media content interpretation, video anomaly detection (VAD) has made fruitful progress via deep neural network (DNN). However, existing methods usually follow a reconstruction or frame prediction routine. They suffer from two gaps
Externí odkaz:
http://arxiv.org/abs/2008.11988