Výsledky vyhledávání - "Yang Zhengwei"

Akademický článek

Effect of the weld parameter strategy on mechanical properties of double-sided laser-welded 2195 Al–Li alloy joints with filler wire

Autor: Xv Qihang, Tian Gan, Zhang Wei, Yang Zhengwei, Ming Anbo

Publikováno v: High Temperature Materials and Processes, Vol 41, Iss 1, Pp 92-110 (2022)

Compared with single-sided welding, double-sided welding can melt through thicker workpieces and improve the mechanical performance of the weld. In this work, laser welding with filler wire of 2195 Al–Li alloy plates is conducted via double-sided o

Externí odkaz: https://doaj.org/article/5506d568c3d34adf8cc6c8f65768fe6e

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Cross-Modal Few-Shot Learning: a Generative Transfer Learning Framework

Autor: Yang, Zhengwei, Li, Yuke, Sun, Qiang, Fernando, Basura, Huang, Heng, Wang, Zheng

Most existing studies on few-shot learning focus on unimodal settings, where models are trained to generalize on unseen data using only a small number of labeled examples from the same modality. However, real-world data are inherently multi-modal, an

Externí odkaz: http://arxiv.org/abs/2410.10663

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Zero-shot Object Counting with Good Exemplars

Autor: Zhu, Huilin, Yuan, Jingling, Yang, Zhengwei, Guo, Yu, Wang, Zheng, Zhong, Xian, He, Shengfeng

Zero-shot object counting (ZOC) aims to enumerate objects in images using only the names of object classes during testing, without the need for manual annotations. However, a critical challenge in current ZOC methods lies in their inability to identi

Externí odkaz: http://arxiv.org/abs/2407.04948

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Learning county from pixels: Corn yield prediction with attention-weighted multiple instance learning

Autor: Wang, Xiaoyu, Ma, Yuchi, Huang, Qunying, Yang, Zhengwei, Zhang, Zhou

Remote sensing technology has become a promising tool in yield prediction. Most prior work employs satellite imagery for county-level corn yield prediction by spatially aggregating all pixels within a county into a single value, potentially overlooki

Externí odkaz: http://arxiv.org/abs/2312.01001

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DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd Counting

Autor: Zhu, Huilin, Yuan, Jingling, Zhong, Xian, Yang, Zhengwei, Wang, Zheng, He, Shengfeng

Domain adaptation is commonly employed in crowd counting to bridge the domain gaps between different datasets. However, existing domain adaptation methods tend to focus on inter-dataset differences while overlooking the intra-differences within the s

Externí odkaz: http://arxiv.org/abs/2308.05311

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