Zobrazeno 1 - 10
of 7 249
pro vyhledávání: '"Lu, Peng"'
Autor:
Pan, Xiaohua, Wu, Weifeng, Liu, Peiran, Li, Zhen, Lu, Peng, Cao, Peijian, Zhang, Jianfeng, Qiu, Xianfei, Wu, YangYang
In many practical real-world applications, data missing is a very common phenomenon, making the development of data-driven artificial intelligence theory and technology increasingly difficult. Data completion is an important method for missing data p
Externí odkaz:
http://arxiv.org/abs/2405.13089
Carbon capture and storage in basalt is being actively investigated as a scalable climate change mitigation option. Accurate geochemical modeling prediction of the extent and rate of CO2 mineralization is a critical component in assessing the local a
Externí odkaz:
http://arxiv.org/abs/2405.05122
This study presents a comprehensive approach for optimizing the acquisition, utilization, and maintenance of ABLVR vascular robots in healthcare settings. Medical robotics, particularly in vascular treatments, necessitates precise resource allocation
Externí odkaz:
http://arxiv.org/abs/2403.19484
In the domain of image layout representation learning, the critical process of translating image layouts into succinct vector forms is increasingly significant across diverse applications, such as image retrieval, manipulation, and generation. Most a
Externí odkaz:
http://arxiv.org/abs/2403.03740
This paper addresses the challenge of train-short-test-long (TSTL) scenarios in Large Language Models (LLMs) equipped with Rotary Position Embedding (RoPE), where models pre-trained on shorter sequences face difficulty with out-of-distribution (OOD)
Externí odkaz:
http://arxiv.org/abs/2403.00071
Local feature matching enjoys wide-ranging applications in the realm of computer vision, encompassing domains such as image retrieval, 3D reconstruction, and object recognition. However, challenges persist in improving the accuracy and robustness of
Externí odkaz:
http://arxiv.org/abs/2401.17592
Event cameras are bio-inspired, motion-activated sensors that demonstrate substantial potential in handling challenging situations, such as motion blur and high-dynamic range. In this paper, we proposed EVI-SAM to tackle the problem of 6 DoF pose tra
Externí odkaz:
http://arxiv.org/abs/2312.11911
Obstacle avoidance for Unmanned Aerial Vehicles (UAVs) in cluttered environments is significantly challenging. Existing obstacle avoidance for UAVs either focuses on fully static environments or static environments with only a few dynamic objects. In
Externí odkaz:
http://arxiv.org/abs/2312.08743
Real-time multi-person pose estimation presents significant challenges in balancing speed and precision. While two-stage top-down methods slow down as the number of people in the image increases, existing one-stage methods often fail to simultaneousl
Externí odkaz:
http://arxiv.org/abs/2312.07526
The fine-tuning of Large Language Models (LLMs) has enabled them to recently achieve milestones in natural language processing applications. The emergence of ever larger LLMs has paved the way for more efficient fine-tuning methods. Among these, the
Externí odkaz:
http://arxiv.org/abs/2312.00949