Zobrazeno 1 - 10
of 14 511
pro vyhledávání: '"Cheng, Jun"'
Emergent Large Language Models (LLMs) use their extraordinary performance and powerful deduction capacity to discern from traditional language models. However, the expenses of computational resources and storage for these LLMs are stunning, quantizat
Externí odkaz:
http://arxiv.org/abs/2406.16299
Echocardiography (ECHO) video is widely used for cardiac examination. In clinical, this procedure heavily relies on operator experience, which needs years of training and maybe the assistance of deep learning-based systems for enhanced accuracy and e
Externí odkaz:
http://arxiv.org/abs/2406.14098
Autor:
Liu, Weide, Hou, Jingwen, Zhong, Xiaoyang, Zhan, Huijing, Cheng, Jun, Fang, Yuming, Yue, Guanghui
Deep learning-based brain tumor segmentation (BTS) models for multi-modal MRI images have seen significant advancements in recent years. However, a common problem in practice is the unavailability of some modalities due to varying scanning protocols
Externí odkaz:
http://arxiv.org/abs/2406.10175
Autor:
Hu, Ming, Xia, Peng, Wang, Lin, Yan, Siyuan, Tang, Feilong, Xu, Zhongxing, Luo, Yimin, Song, Kaimin, Leitner, Jurgen, Cheng, Xuelian, Cheng, Jun, Liu, Chi, Zhou, Kaijing, Ge, Zongyuan
Surgical scene perception via videos are critical for advancing robotic surgery, telesurgery, and AI-assisted surgery, particularly in ophthalmology. However, the scarcity of diverse and richly annotated video datasets has hindered the development of
Externí odkaz:
http://arxiv.org/abs/2406.07471
Utilizing an equivparticle model with both linear confinement and leading-order perturbative interactions, we obtain systematically the properties of strangelets and nonstrange quark matter ($ud$QM) nuggets at various baryon ($A$) and charge ($Z$) nu
Externí odkaz:
http://arxiv.org/abs/2406.00613
3D environment recognition is essential for autonomous driving systems, as autonomous vehicles require a comprehensive understanding of surrounding scenes. Recently, the predominant approach to define this real-life problem is through 3D occupancy pr
Externí odkaz:
http://arxiv.org/abs/2405.16099
We study the properties of strangelets at finite temperature $T$, employing an equivparticle model that incorporates both linear confinement and leading-order perturbative interactions with density-dependent quark masses. The shell effects are analyz
Externí odkaz:
http://arxiv.org/abs/2405.14190
In recent years, numerous real-time stereo matching methods have been introduced, but they often lack accuracy. These methods attempt to improve accuracy by introducing new modules or integrating traditional methods. However, the improvements are onl
Externí odkaz:
http://arxiv.org/abs/2405.11809
Autor:
Wang, Fei, Cheng, Jun
Most existing methods often rely on complex models to predict scene depth with high accuracy, resulting in slow inference that is not conducive to deployment. To better balance precision and speed, we first designed SmallDepth based on sparsity. Seco
Externí odkaz:
http://arxiv.org/abs/2405.10885
Autor:
Qi, Zhen, Li, Wanlei, Cheng, Jun, Guo, Zhongxin, Li, Chenglong, Wang, Shang, Tan, Zuoquan, Gao, Zhiting, Wang, Yongchao, Lian, Zichen, Chen, Shanshan, He, Yonglin, Wang, Zhiyong, Wang, Yapei, Zhang, Jinsong, Wang, Yayu, Cai, Peng
Molecular adsorption is pivotal in device fabrication and material synthesis for quantum technology. However, elucidating the behavior of physisorption poses technical challenges. Here graphene with ultrahigh sensitivity was utilized to detect ozone
Externí odkaz:
http://arxiv.org/abs/2405.06041