Zobrazeno 1 - 10
of 17 618
pro vyhledávání: '"siamese network"'
As we enter the era of big data, collecting high-quality data is very important. However, collecting data by humans is not only very time-consuming but also expensive. Therefore, many scientists have devised various methods to collect data using comp
Externí odkaz:
http://arxiv.org/abs/2410.12561
In recent years, Wi-Fi sensing has garnered significant attention due to its numerous benefits, such as privacy protection, low cost, and penetration ability. Extensive research has been conducted in this field, focusing on areas such as gesture reco
Externí odkaz:
http://arxiv.org/abs/2408.10919
Autor:
Li, Chen1 (AUTHOR) lichen14@nudt.edu.cn, Zheng, Zhong1 (AUTHOR) zheng_zhong@nudt.edu.cn, Wu, Di1 (AUTHOR)
Publikováno v:
Bioengineering (Basel). Nov2024, Vol. 11 Issue 11, p1146. 25p.
Despite the eye-catching breakthroughs achieved by deep visual networks in detecting region-level surface defects, the challenge of high-quality pixel-wise defect detection remains due to diverse defect appearances and data scarcity. To avoid over-re
Externí odkaz:
http://arxiv.org/abs/2409.00589
Autor:
Feng, Shuangquan, de Sa, Virginia R.
Automatic facial action unit (AU) recognition is used widely in facial expression analysis. Most existing AU recognition systems aim for cross-participant non-calibrated generalization (NCG) to unseen faces without further calibration. However, due t
Externí odkaz:
http://arxiv.org/abs/2409.00240
Publikováno v:
Scientific Reports 14 (2024) 22516
Self-supervised learning methods for medical images primarily rely on the imaging modality during pretraining. While such approaches deliver promising results, they do not leverage associated patient or scan information collected within Electronic He
Externí odkaz:
http://arxiv.org/abs/2407.04449
Autor:
Wang, Ruize, Xu, Hui, Cheng, Ying, He, Qi, Zhou, Xing, Feng, Rui, Xu, Wei, Huang, Lei, Jiang, Jie
Advertising platforms have evolved in estimating Lifetime Value (LTV) to better align with advertisers' true performance metric. However, the sparsity of real-world LTV data presents a significant challenge to LTV predictive model(i.e., pLTV), severe
Externí odkaz:
http://arxiv.org/abs/2406.10517
In recent years, deep learning-based point cloud normal estimation has made great progress. However, existing methods mainly rely on the PCPNet dataset, leading to overfitting. In addition, the correlation between point clouds with different noise sc
Externí odkaz:
http://arxiv.org/abs/2406.09681
Multimodal object detection offers a promising prospect to facilitate robust detection in various visual conditions. However, existing two-stream backbone networks are challenged by complex fusion and substantial parameter increments. This is primari
Externí odkaz:
http://arxiv.org/abs/2407.16129
Lip-based biometric authentication (LBBA) has attracted many researchers during the last decade. The lip is specifically interesting for biometric researchers because it is a twin biometric with the potential to function both as a physiological and a
Externí odkaz:
http://arxiv.org/abs/2407.08717