Zobrazeno 1 - 10
of 352
pro vyhledávání: '"REN Jianfeng"'
Publikováno v:
电力工程技术, Vol 3, Iss 45, Pp 32-38 (2022)
The flat design of security and stability control system (SSCS) can realize the information interaction between each control sub-station and each sub-grid,which is conducive to reducing the number of SSCS layers and improving its reliability,thus inc
Externí odkaz:
https://doaj.org/article/be3bd383ccbf463c9720763ad9bd8ade
Autor:
Wang, Gui, Li, Yuexiang, Chen, Wenting, Ding, Meidan, Cheah, Wooi Ping, Qu, Rong, Ren, Jianfeng, Shen, Linlin
Small lesions play a critical role in early disease diagnosis and intervention of severe infections. Popular models often face challenges in segmenting small lesions, as it occupies only a minor portion of an image, while down\_sampling operations ma
Externí odkaz:
http://arxiv.org/abs/2412.14546
Exemplar-Free Counting aims to count objects of interest without intensive annotations of objects or exemplars. To achieve this, we propose Gated Context-Aware Swin-UNet (GCA-SUN) to directly map an input image to the density map of countable objects
Externí odkaz:
http://arxiv.org/abs/2409.12249
Dynamic MR images possess various transformation symmetries,including the rotation symmetry of local features within the image and along the temporal dimension. Utilizing these symmetries as prior knowledge can facilitate dynamic MR imaging with high
Externí odkaz:
http://arxiv.org/abs/2409.08537
As a popular form of knowledge and experience, patterns and their identification have been critical tasks in most data mining applications. However, as far as we are aware, no study has systematically examined the dynamics of pattern values and their
Externí odkaz:
http://arxiv.org/abs/2409.04456
Autor:
Zhang, Yaning, Yu, Zitong, Wang, Tianyi, Huang, Xiaobin, Shen, Linlin, Gao, Zan, Ren, Jianfeng
The rapid advancement of photorealistic generators has reached a critical juncture where the discrepancy between authentic and manipulated images is increasingly indistinguishable. Thus, benchmarking and advancing techniques detecting digital manipul
Externí odkaz:
http://arxiv.org/abs/2402.02003
Autor:
Zhang, Jialu, Yang, Xiaoying, He, Wentao, Ren, Jianfeng, Zhang, Qian, Zhao, Titian, Bai, Ruibin, He, Xiangjian, Liu, Jiang
Object detection in aerial imagery presents a significant challenge due to large scale variations among objects. This paper proposes an evolutionary reinforcement learning agent, integrated within a coarse-to-fine object detection framework, to optim
Externí odkaz:
http://arxiv.org/abs/2312.15219
Deep neural networks have been applied to audio spectrograms for respiratory sound classification. Existing models often treat the spectrogram as a synthetic image while overlooking its physical characteristics. In this paper, a Multi-View Spectrogra
Externí odkaz:
http://arxiv.org/abs/2311.09655
Detecting 3D mask attacks to a face recognition system is challenging. Although genuine faces and 3D face masks show significantly different remote photoplethysmography (rPPG) signals, rPPG-based face anti-spoofing methods often suffer from performan
Externí odkaz:
http://arxiv.org/abs/2305.15940