Zobrazeno 1 - 10
of 19 420
pro vyhledávání: '"Wu, min"'
The rapid development of the semiconductor industry and the ubiquity of electronic devices have led to a significant increase in the counterfeiting of integrated circuits (ICs). This poses a major threat to public health, the banking industry, and mi
Externí odkaz:
http://arxiv.org/abs/2412.15186
Semantic segmentation in videos has been a focal point of recent research. However, existing models encounter challenges when faced with unfamiliar categories. To address this, we introduce the Open Vocabulary Video Semantic Segmentation (OV-VSS) tas
Externí odkaz:
http://arxiv.org/abs/2412.09329
Autor:
Zhao, Wan-Qian, Zhang, Shu-Jie, Guo, Zhan-Yong, Tian, Zeng-Yuan, Cao, Gang-Qiang, Li, Mei-Jun, Qiu, Li-You, Yang, Jin-Yu, Wang, Yong-Kai, Zhang, Shu-Hui, Zheng, Zhi-Fang, Wu, Min-Zhi
This article critically examines the methodologies applied in ancient DNA (aDNA) research, particularly those developed by Dr. P\"a\"abo's team, which have significantly influenced the field. The focus is on the challenges of distinguishing original
Externí odkaz:
http://arxiv.org/abs/2412.06378
It is widely recognized that reciprocal interactions between cells and their microenvironment, via mechanical forces and biochemical signaling pathways, regulate cell behaviors during normal development, homeostasis and disease progression such as ca
Externí odkaz:
http://arxiv.org/abs/2412.00916
Autor:
An, Zhaochong, Sun, Guolei, Liu, Yun, Li, Runjia, Wu, Min, Cheng, Ming-Ming, Konukoglu, Ender, Belongie, Serge
Few-shot 3D point cloud segmentation (FS-PCS) aims at generalizing models to segment novel categories with minimal annotated support samples. While existing FS-PCS methods have shown promise, they primarily focus on unimodal point cloud inputs, overl
Externí odkaz:
http://arxiv.org/abs/2410.22489
Time series forecasting, which aims to predict future values based on historical data, has garnered significant attention due to its broad range of applications. However, real-world time series often exhibit complex non-uniform distribution with vary
Externí odkaz:
http://arxiv.org/abs/2410.09836
Source-Free Unsupervised Domain Adaptation (SFUDA) has gained popularity for its ability to adapt pretrained models to target domains without accessing source domains, ensuring source data privacy. While SFUDA is well-developed in visual tasks, its a
Externí odkaz:
http://arxiv.org/abs/2409.19635
Remaining Useful Life (RUL) prediction is a critical aspect of Prognostics and Health Management (PHM), aimed at predicting the future state of a system to enable timely maintenance and prevent unexpected failures. While existing deep learning method
Externí odkaz:
http://arxiv.org/abs/2409.19629
Building on VeriX (Verified eXplainability, arXiv:2212.01051), a system for producing optimal verified explanations for machine learning model outputs, we present VeriX+, which significantly improves both the size and the generation time of verified
Externí odkaz:
http://arxiv.org/abs/2409.03060
Symbolic regression is a task aimed at identifying patterns in data and representing them through mathematical expressions, generally involving skeleton prediction and constant optimization. Many methods have achieved some success, however they treat
Externí odkaz:
http://arxiv.org/abs/2408.07719