Výsledky vyhledávání - "Zhang, Huixin"

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Localization, balance and affinity: a stronger multifaceted collaborative salient object detector in remote sensing images

Autor: Xie, Yakun, Liu, Suning, Chen, Hongyu, Cao, Shaohan, Zhang, Huixin, Feng, Dejun, Wan, Qian, Zhu, Jun, Zhu, Qing

Despite significant advancements in salient object detection(SOD) in optical remote sensing images(ORSI), challenges persist due to the intricate edge structures of ORSIs and the complexity of their contextual relationships. Current deep learning app

Externí odkaz: http://arxiv.org/abs/2410.23991

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DSLO: Deep Sequence LiDAR Odometry Based on Inconsistent Spatio-temporal Propagation

Autor: Zhang, Huixin, Wang, Guangming, Wu, Xinrui, Xu, Chenfeng, Ding, Mingyu, Tomizuka, Masayoshi, Zhan, Wei, Wang, Hesheng

This paper introduces a 3D point cloud sequence learning model based on inconsistent spatio-temporal propagation for LiDAR odometry, termed DSLO. It consists of a pyramid structure with a spatial information reuse strategy, a sequential pose initiali

Externí odkaz: http://arxiv.org/abs/2409.00744

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Few-Shot Recognition via Stage-Wise Augmented Finetuning

Autor: Liu, Tian, Zhang, Huixin, Parashar, Shubham, Kong, Shu

Few-shot recognition aims to train a classification model with only a few labeled examples of pre-defined concepts, where annotation can be costly in a downstream task. In another related research area, zero-shot recognition, which assumes no access

Externí odkaz: http://arxiv.org/abs/2406.11148

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Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems

Autor: Fu, Cong, Zhang, Xuan, Zhang, Huixin, Ling, Hongyi, Xu, Shenglong, Ji, Shuiwang

Deep learning methods have been shown to be effective in representing ground-state wave functions of quantum many-body systems. Existing methods use convolutional neural networks (CNNs) for square lattices due to their image-like structures. For non-

Externí odkaz: http://arxiv.org/abs/2206.07370

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Akademický článek

The role of handwriting in English word acquisition among elementary students

Autor: Yang Ying, Zhang Huixin, Wu Yunxia, Li Wenhui

Publikováno v: Acta Psychologica, Vol 246, Iss , Pp 104284- (2024)

In order to investigate whether handwriting has an advantage in learning word form, sound, and meaning, this study randomly selected 40 elementary school student participants (20 males, 20 females, aged 11.4 ± 1.34 years). Using an experimental appr

Externí odkaz: https://doaj.org/article/fec2ad5cfeee420cba6a18887225da55