Zobrazeno 1 - 10
of 2 867
pro vyhledávání: '"Cao Bing"'
Publikováno v:
Translational Neuroscience, Vol 15, Iss 1, Pp 1231-51 (2024)
Silibinin has been found to inhibit glioblastoma (GBM) progression. However, the underlying molecular mechanism by which Silibinin regulates GBM process remains unclear.
Externí odkaz:
https://doaj.org/article/a8e0368a131348b98973733733e0910b
Multimodal fusion is crucial in joint decision-making systems for rendering holistic judgments. Since multimodal data changes in open environments, dynamic fusion has emerged and achieved remarkable progress in numerous applications. However, most ex
Externí odkaz:
http://arxiv.org/abs/2406.04802
Tiny object detection is one of the key challenges in the field of object detection. The performance of most generic detectors dramatically decreases in tiny object detection tasks. The main challenge lies in extracting effective features of tiny obj
Externí odkaz:
http://arxiv.org/abs/2405.11276
Recent advances in text-to-image models have opened new frontiers in human-centric generation. However, these models cannot be directly employed to generate images with consistent newly coined identities. In this work, we propose CharacterFactory, a
Externí odkaz:
http://arxiv.org/abs/2404.15677
General image fusion aims at integrating important information from multi-source images. However, due to the significant cross-task gap, the respective fusion mechanism varies considerably in practice, resulting in limited performance across subtasks
Externí odkaz:
http://arxiv.org/abs/2403.12494
Due to the rapid development of computer vision, single-modal (RGB) object tracking has made significant progress in recent years. Considering the limitation of single imaging sensor, multi-modal images (RGB, Infrared, etc.) are introduced to compens
Externí odkaz:
http://arxiv.org/abs/2312.10611
Publikováno v:
CVPR 2024
Out-of-distribution (OOD) detection methods often exploit auxiliary outliers to train model identifying OOD samples, especially discovering challenging outliers from auxiliary outliers dataset to improve OOD detection. However, they may still face li
Externí odkaz:
http://arxiv.org/abs/2311.15243
Using the atomic cluster expansion (ACE) framework, we develop a machine learning interatomic potential for fast and accurately modelling the phonon transport properties of wurtzite aluminum nitride. The predictive power of the ACE potential against
Externí odkaz:
http://arxiv.org/abs/2311.11990
Autor:
Yang, Guang, Cao, Bing-yang
Anisotropic thermal transport plays a key role in both theoretical study and engineering practice of heat transfer, but accurately measuring anisotropic thermal conductivity remains a significant challenge. To address this issue, we propose the three
Externí odkaz:
http://arxiv.org/abs/2310.02846
Autor:
Li, Jun, Wang, Jingjian, Wang, Hongwei, Deng, Xing, Chen, Jielong, Cao, Bing, Wang, Zekun, Xu, Guanjie, Zhang, Ge, Shi, Feng, Liu, Hualei
Spatial-temporal information has been proven to be of great significance for click-through rate prediction tasks in online Location-Based Services (LBS), especially in mainstream food ordering platforms such as DoorDash, Uber Eats, Meituan, and Ele.m
Externí odkaz:
http://arxiv.org/abs/2308.15703