Zobrazeno 1 - 10
of 814
pro vyhledávání: '"Wang Pengwei"'
Sentiment analysis and emotion recognition are crucial for applications such as human-computer interaction and depression detection. Traditional unimodal methods often fail to capture the complexity of emotional expressions due to conflicting signals
Externí odkaz:
http://arxiv.org/abs/2412.08049
Autor:
Jia, Yueru, Liu, Jiaming, Chen, Sixiang, Gu, Chenyang, Wang, Zhilue, Luo, Longzan, Lee, Lily, Wang, Pengwei, Wang, Zhongyuan, Zhang, Renrui, Zhang, Shanghang
3D geometric information is essential for manipulation tasks, as robots need to perceive the 3D environment, reason about spatial relationships, and interact with intricate spatial configurations. Recent research has increasingly focused on the expli
Externí odkaz:
http://arxiv.org/abs/2411.18623
U-Net is widely used in medical image segmentation due to its simple and flexible architecture design. To address the challenges of scale and complexity in medical tasks, several variants of U-Net have been proposed. In particular, methods based on V
Externí odkaz:
http://arxiv.org/abs/2410.04128
Publikováno v:
The Scientific World Journal, Vol 2022 (2022)
Recently, soils heavy metals pollution and health risks researches in oasis are few, and in this study, the Aibi lake basin—a typical oasis—was chosen as the research area, and then, we evaluated the pollution status and sources identification an
Externí odkaz:
https://doaj.org/article/f9c90a1644f447009b95ae85030c3cd2
Soft robotics has emerged as a promising field with the potential to revolutionize industries such as healthcare and manufacturing. However, designing effective soft robots presents challenges, particularly in managing the complex interplay of materi
Externí odkaz:
http://arxiv.org/abs/2405.01824
Deep learning models have become a powerful tool in knee angle estimation for lower limb prostheses, owing to their adaptability across various gait phases and locomotion modes. Current methods utilize Multi-Layer Perceptrons (MLP), Long-Short Term M
Externí odkaz:
http://arxiv.org/abs/2404.06772
U-Net and its variants have been widely used in medical image segmentation. However, most current U-Net variants confine their improvement strategies to building more complex encoder, while leaving the decoder unchanged or adopting a simple symmetric
Externí odkaz:
http://arxiv.org/abs/2309.11139
Autor:
Zhang, Tong, Liu, Yong, Li, Boyang, Zeng, Zhiwei, Wang, Pengwei, You, Yuan, Miao, Chunyan, Cui, Lizhen
With the evolution of pre-trained language models, current open-domain dialogue systems have achieved great progress in conducting one-session conversations. In contrast, Multi-Session Conversation (MSC), which consists of multiple sessions over a lo
Externí odkaz:
http://arxiv.org/abs/2302.00907
Autor:
Wang, Pengwei1 (AUTHOR), Liu, Dandan1 (AUTHOR), Ni, Danqing1 (AUTHOR), Gao, Shu1 (AUTHOR), Hao, Yanpeng1 (AUTHOR), Xue, Chenchen2 (AUTHOR), Chen, Xin2 (AUTHOR), Zhao, Jinming1 (AUTHOR) jmz3000@126.com, Xing, Han1 (AUTHOR) hanx@njau.edu.cn, Guo, Na1 (AUTHOR) guona@njau.edu.cn
Publikováno v:
BMC Plant Biology. 12/27/2024, Vol. 24 Issue 1, p1-9. 9p.
Autor:
Wang, Pengwei
Generative Adversarial Networks (GAN) is currently widely used as an unsupervised image generation method. Current state-of-the-art GANs can generate photorealistic images with high resolution. However, a large amount of data is required, or the mode
Externí odkaz:
http://arxiv.org/abs/2210.16251