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pro vyhledávání: '"Chen, Chengwei"'
The vision-language model has brought great improvement to few-shot industrial anomaly detection, which usually needs to design of hundreds of prompts through prompt engineering. For automated scenarios, we first use conventional prompt learning with
Externí odkaz:
http://arxiv.org/abs/2404.05231
Autor:
Lai, Rongtao, Li, Xinjie, Zhang, Jie, Chen, Jun, Yang, Changqing, Xie, Wen, Yu, Yuecheng, Guo, Xiaoyan, Zhang, Xinrong, Lu, Guoliang, Han, Xi’an, Xie, Qing, Chen, Chengwei, Shen, Tao, Mao, Yimin
Publikováno v:
In JHEP Reports August 2024 6(8)
Autor:
Chen, Chengwei, Xie, Yuan, Lin, Shaohui, Qiao, Ruizhi, Zhou, Jian, Tan, Xin, Zhang, Yi, Ma, Lizhuang
Publikováno v:
IJCAI2021
Novelty detection is the process of determining whether a query example differs from the learned training distribution. Previous methods attempt to learn the representation of the normal samples via generative adversarial networks (GANs). However, th
Externí odkaz:
http://arxiv.org/abs/2106.09958
Publikováno v:
In iScience November 2024
With the development of medical imaging technology, medical images have become an important basis for doctors to diagnose patients. The brain structure in the collected data is complicated, thence, doctors are required to spend plentiful energy when
Externí odkaz:
http://arxiv.org/abs/2007.04734
Face spoofing causes severe security threats in face recognition systems. Previous anti-spoofing works focused on supervised techniques, typically with either binary or auxiliary supervision. Most of them suffer from limited robustness and generaliza
Externí odkaz:
http://arxiv.org/abs/2005.10999
Autor:
Chen, Chengwei, Chen, Pan, Song, Haichuan, Tao, Yiqing, Xie, Yuan, Ding, Shouhong, Ma, Lizhuang
Anomaly detection is a fundamental problem in computer vision area with many real-world applications. Given a wide range of images belonging to the normal class, emerging from some distribution, the objective of this task is to construct the model to
Externí odkaz:
http://arxiv.org/abs/2002.01607
Autor:
Chen, Chengwei, Chen, Pan, Yang, Lingyu, Mo, Jinyuan, Song, Haichuan, Xie, Yuan, Ma, Lizhuang
Acoustic anomaly detection aims at distinguishing abnormal acoustic signals from the normal ones. It suffers from the class imbalance issue and the lacking in the abnormal instances. In addition, collecting all kinds of abnormal or unknown samples fo
Externí odkaz:
http://arxiv.org/abs/2002.01107
One-class novelty detection is the process of determining if a query example differs from the training examples (the target class). Most of previous strategies attempt to learn the real characteristics of target sample by using generative adversarial
Externí odkaz:
http://arxiv.org/abs/2002.00522
Publikováno v:
In Journal of Energy Storage 25 December 2023 74 Part B