Zobrazeno 1 - 10
of 493
pro vyhledávání: '"Zhang, Tianxiang"'
LiDAR-Inertial Odometry (LIO) demonstrates outstanding accuracy and stability in general low-speed and smooth motion scenarios. However, in high-speed and intense motion scenarios, such as sharp turns, two primary challenges arise: firstly, due to th
Externí odkaz:
http://arxiv.org/abs/2408.11426
The Few-Shot Segmentation (FSS) aims to accomplish the novel class segmentation task with a few annotated images. Current FSS research based on meta-learning focus on designing a complex interaction mechanism between the query and support feature. Ho
Externí odkaz:
http://arxiv.org/abs/2312.15731
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 5, Pp 67-74 (2024)
Currently, in the prediction methods of underground personnel trajectories in coal mines, Transformer not only has lower computational complexity compared to recurrent neural network(RNN) and long short-term memory (LSTM), but also effectively so
Externí odkaz:
https://doaj.org/article/b783ec7edcb14ddd9589f68372d04289
Comparative Chloroplast Genomes Analysis Provided Adaptive Evolution Insights in Medicago ruthenica.
Autor:
Zhang, Tianxiang1 (AUTHOR), Li, Manman1 (AUTHOR), Zhu, Xiaoyue1 (AUTHOR) hsdztx@stu.hrbnu.edu.cn, Li, Shuaixian1 (AUTHOR), Guo, Meiyan1 (AUTHOR), Guo, Changhong1 (AUTHOR), Shu, Yongjun1 (AUTHOR) syjun2003@126.com
Publikováno v:
International Journal of Molecular Sciences. Aug2024, Vol. 25 Issue 16, p8689. 18p.
Publikováno v:
Frontiers of Agricultural Science and Engineering, Vol 11, Iss 1, Pp 5-19 (2024)
● Agriculture green development (AGD) has been undertaken in China for 5 years.● New insights and advances on the four themes of AGD in China are elucidated.● AGD involves interdisciplinary research innovation, multistakeholder participation, m
Externí odkaz:
https://doaj.org/article/2d466224df914df3a548ebacd947267a
The contextual information is critical for various computer vision tasks, previous works commonly design plug-and-play modules and structural losses to effectively extract and aggregate the global context. These methods utilize fine-label to optimize
Externí odkaz:
http://arxiv.org/abs/2207.01417
The encoder-decoder architecture is widely used as a lightweight semantic segmentation network. However, it struggles with a limited performance compared to a well-designed Dilated-FCN model for two major problems. First, commonly used upsampling met
Externí odkaz:
http://arxiv.org/abs/2204.04363
Autor:
Liu, Sicong, Ji, Feng, Ding, Yue, Ding, Bo, Feng, Songwei, Brennick, Cory, Lin, Hao, Zhang, Tianxiang, Shen, Yang
Publikováno v:
In International Immunopharmacology 10 September 2024 138
Autor:
Shi, Xuefei, Zhang, Yisi, Liu, Kecheng, Wen, Zhaokun, Wang, Wenxuan, Zhang, Tianxiang, Li, Jiangyun
Publikováno v:
In Signal Processing January 2025 226
Transformer, benefiting from global (long-range) information modeling using self-attention mechanism, has been successful in natural language processing and computer vision recently. Convolutional Neural Networks, capable of capturing local features,
Externí odkaz:
http://arxiv.org/abs/2201.12785