Zobrazeno 1 - 10
of 56 664
pro vyhledávání: '"AN Xiaojuan"'
Publikováno v:
Guan'gai paishui xuebao, Vol 43, Iss 1, Pp 35-44 (2024)
【Background】 Drought is an important factor restricting China’s agricultural development. Tianshui City of Gansu Province is located in the inland, with a warm temperate semi-humid and semi-arid climate, thin soil layer, unfertile land and lack
Externí odkaz:
https://doaj.org/article/fb1de918add8474ebe944813454f5a1e
Autor:
Li, Bohan, Guo, Jiazhe, Liu, Hongsi, Zou, Yingshuang, Ding, Yikang, Chen, Xiwu, Zhu, Hu, Tan, Feiyang, Zhang, Chi, Wang, Tiancai, Zhou, Shuchang, Zhang, Li, Qi, Xiaojuan, Zhao, Hao, Yang, Mu, Zeng, Wenjun, Jin, Xin
Generating high-fidelity, controllable, and annotated training data is critical for autonomous driving. Existing methods typically generate a single data form directly from a coarse scene layout, which not only fails to output rich data forms require
Externí odkaz:
http://arxiv.org/abs/2412.05435
Autor:
Han, Songhao, Huang, Wei, Shi, Hairong, Zhuo, Le, Su, Xiu, Zhang, Shifeng, Zhou, Xu, Qi, Xiaojuan, Liao, Yue, Liu, Si
The advancement of Large Vision Language Models (LVLMs) has significantly improved multimodal understanding, yet challenges remain in video reasoning tasks due to the scarcity of high-quality, large-scale datasets. Existing video question-answering (
Externí odkaz:
http://arxiv.org/abs/2411.14794
Autor:
Yu, Xin, Yuan, Ze, Guo, Yuan-Chen, Liu, Ying-Tian, Liu, JianHui, Li, Yangguang, Cao, Yan-Pei, Liang, Ding, Qi, Xiaojuan
Publikováno v:
ACM Transactions on Graphics (TOG) 2024, Volume 43, Issue 6, Article No.: 213, Pages 1-14
While high-quality texture maps are essential for realistic 3D asset rendering, few studies have explored learning directly in the texture space, especially on large-scale datasets. In this work, we depart from the conventional approach of relying on
Externí odkaz:
http://arxiv.org/abs/2411.14740
Commonsense datasets have been well developed in Natural Language Processing, mainly through crowdsource human annotation. However, there are debates on the genuineness of commonsense reasoning benchmarks. In specific, a significant portion of instan
Externí odkaz:
http://arxiv.org/abs/2411.03964
Autor:
Zhao, Hongbo, Fan, Lue, Chen, Yuntao, Wang, Haochen, Yang, yuran, Jin, Xiaojuan, Zhang, Yixin, Meng, Gaofeng, Zhang, Zhaoxiang
In this paper, we propose OpenSatMap, a fine-grained, high-resolution satellite dataset for large-scale map construction. Map construction is one of the foundations of the transportation industry, such as navigation and autonomous driving. Extracting
Externí odkaz:
http://arxiv.org/abs/2410.23278
Lung cancer ranks as one of the leading causes of cancer diagnosis and is the foremost cause of cancer-related mortality worldwide. The early detection of lung nodules plays a pivotal role in improving outcomes for patients, as it enables timely and
Externí odkaz:
http://arxiv.org/abs/2410.20154
Balancing training on long-tail data distributions remains a long-standing challenge in deep learning. While methods such as re-weighting and re-sampling help alleviate the imbalance issue, limited sample diversity continues to hinder models from lea
Externí odkaz:
http://arxiv.org/abs/2410.15980
Autor:
Li, Xiaojuan, Hu, Mingshang
In this paper, by using the representation theorem for sublinear expectations, we give a simple proof to obtain two inequalities about the sample mean for independent random vectors under sublinear expectations.
Comment: 6 pages
Comment: 6 pages
Externí odkaz:
http://arxiv.org/abs/2410.11349
Pubic symphysis-fetal head segmentation in transperineal ultrasound images plays a critical role for the assessment of fetal head descent and progression. Existing transformer segmentation methods based on sparse attention mechanism use handcrafted s
Externí odkaz:
http://arxiv.org/abs/2410.10352