Zobrazeno 1 - 10
of 17 269
pro vyhledávání: '"LI, Ye"'
Vision-centric autonomous driving has demonstrated excellent performance with economical sensors. As the fundamental step, 3D perception aims to infer 3D information from 2D images based on 3D-2D projection. This makes driving perception models susce
Externí odkaz:
http://arxiv.org/abs/2410.13864
Autor:
Mo, Zhiguang, Che, Shao, Xiao, Enhua, Chen, Qiaoyan, Du, Feng, Li, Nan, Jia, Sen, Tie, Changjun, Wu, Bing, Zhang, Xiaoliang, Zheng, Hairong, Li, Ye
The performance of radiofrequency (RF) coils has a significant impact on the quality and speed of magnetic resonance imaging (MRI). Consequently, rigid coils with attached cables are commonly employed to achieve optimal SNR performance and parallel i
Externí odkaz:
http://arxiv.org/abs/2409.20095
Federated Learning (FL), a privacy-preserving decentralized machine learning framework, has been shown to be vulnerable to backdoor attacks. Current research primarily focuses on the Single-Label Backdoor Attack (SBA), wherein adversaries share a con
Externí odkaz:
http://arxiv.org/abs/2409.19601
Learning operators for parametric partial differential equations (PDEs) using neural networks has gained significant attention in recent years. However, standard approaches like Deep Operator Networks (DeepONets) require extensive labeled data, and p
Externí odkaz:
http://arxiv.org/abs/2409.10284
Emotion Recognition in Conversations (ERCs) is a vital area within multimodal interaction research, dedicated to accurately identifying and classifying the emotions expressed by speakers throughout a conversation. Traditional ERC approaches predomina
Externí odkaz:
http://arxiv.org/abs/2409.05243
Interface problems pose significant challenges due to the discontinuity of their solutions, particularly when they involve singular perturbations or high-contrast coefficients, resulting in intricate singularities that complicate resolution. The incr
Externí odkaz:
http://arxiv.org/abs/2409.04782
Solving Singularly Perturbed Differential Equations (SPDEs) poses computational challenges arising from the rapid transitions in their solutions within thin regions. The effectiveness of deep learning in addressing differential equations motivates us
Externí odkaz:
http://arxiv.org/abs/2409.04779
Continuous blood pressure (BP) monitoring is essential for timely diagnosis and intervention in critical care settings. However, BP varies significantly across individuals, this inter-patient variability motivates the development of personalized mode
Externí odkaz:
http://arxiv.org/abs/2409.04704
Physics-informed deep learning (PIDL)-based models have recently garnered remarkable success in traffic state estimation (TSE). However, the prior knowledge used to guide regularization training in current mainstream architectures is based on determi
Externí odkaz:
http://arxiv.org/abs/2409.00644
System-level performance evaluation over satellite networks often requires a simulated or emulated environment for reproducibility and low cost. However, the existing tools may not meet the needs for scenarios such as the low-earth orbit (LEO) satell
Externí odkaz:
http://arxiv.org/abs/2408.15581