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pro vyhledávání: '"A Fung"'
Identifying defects and anomalies in industrial products is a critical quality control task. Traditional manual inspection methods are slow, subjective, and error-prone. In this work, we propose a novel zero-shot training-free approach for automated
Externí odkaz:
http://arxiv.org/abs/2411.19220
Robotic search of people in human-centered environments, including healthcare settings, is challenging as autonomous robots need to locate people without complete or any prior knowledge of their schedules, plans or locations. Furthermore, robots need
Externí odkaz:
http://arxiv.org/abs/2412.00103
Training large language models is a computationally intensive process that often requires substantial resources to achieve state-of-the-art results. Incremental layer-wise training has been proposed as a potential strategy to optimize the training pr
Externí odkaz:
http://arxiv.org/abs/2411.18700
Rolling bearings play a crucial role in industrial machinery, directly influencing equipment performance, durability, and safety. However, harsh operating conditions, such as high speeds and temperatures, often lead to bearing malfunctions, resulting
Externí odkaz:
http://arxiv.org/abs/2412.00085
In the research area of image super-resolution, Swin-transformer-based models are favored for their global spatial modeling and shifting window attention mechanism. However, existing methods often limit self-attention to non overlapping windows to cu
Externí odkaz:
http://arxiv.org/abs/2411.18003
With the rapid advancements in deep learning, computer vision tasks have seen significant improvements, making two-stream neural networks a popular focus for video based action recognition. Traditional models using RGB and optical flow streams achiev
Externí odkaz:
http://arxiv.org/abs/2411.18002
Autor:
Heung, Tsz Fung, Franz, Marcel
The notion of topological order (TO) can be defined through the characteristic ground state degeneracy of a system placed on a manifold with non-zero genus $g$, such as a torus. This ground state degeneracy has served as a key tool for identifying TO
Externí odkaz:
http://arxiv.org/abs/2411.17964
Autor:
Tsoi, Ho Fung, Rankin, Dylan, Caillol, Cecile, Cranmer, Miles, Dasu, Sridhara, Duarte, Javier, Harris, Philip, Lipeles, Elliot, Loncar, Vladimir
We introduce SymbolFit, a framework that automates parametric modeling by using symbolic regression to perform a machine-search for functions that fit the data, while simultaneously providing uncertainty estimates in a single run. Traditionally, cons
Externí odkaz:
http://arxiv.org/abs/2411.09851
Autor:
Li, Muzhi, Yang, Cehao, Xu, Chengjin, Jiang, Xuhui, Qi, Yiyan, Guo, Jian, Leung, Ho-fung, King, Irwin
The Knowledge Graph Completion~(KGC) task aims to infer the missing entity from an incomplete triple. Existing embedding-based methods rely solely on triples in the KG, which is vulnerable to specious relation patterns and long-tail entities. On the
Externí odkaz:
http://arxiv.org/abs/2411.08165
Publikováno v:
IEEE Intelligent Transportation Systems Magazine (Volume: 16, Issue: 6, Nov.-Dec. 2024)
Mobility-as-a-Service (MaaS) integrates different transport modalities and can support more personalisation of travellers' journey planning based on their individual preferences, behaviours and wishes. To fully achieve the potential of MaaS, a range
Externí odkaz:
http://arxiv.org/abs/2411.05681