Zobrazeno 1 - 10
of 298
pro vyhledávání: '"Zeng Bi"'
Publikováno v:
Journal of Threatened Taxa, Vol 11, Iss 11, Pp 14391-14401 (2019)
The Gaoligongshan Mountains in Yunnan Province, southwestern China, is one of the biologically richest areas on Earth. In 2014, we launched a four-year biodiversity survey in the Tengchong Section of Gaoligongshan National Nature Reserve and its imme
Externí odkaz:
https://doaj.org/article/1d1ae29b22034b358594e5958a997716
In recent years, Neural Radiance Fields (NeRF) has revolutionized three-dimensional (3D) reconstruction with its implicit representation. Building upon NeRF, 3D Gaussian Splatting (3D-GS) has departed from the implicit representation of neural networ
Externí odkaz:
http://arxiv.org/abs/2405.17891
Due to budgetary constraints, indoor navigation typically employs 2D LiDAR rather than 3D LiDAR. However, the utilization of 2D LiDAR in Simultaneous Localization And Mapping (SLAM) frequently encounters challenges related to motion degeneracy, parti
Externí odkaz:
http://arxiv.org/abs/2404.07644
Single object tracking (SOT) heavily relies on the representation of the target object as a bounding box. However, due to the potential deformation and rotation experienced by the tracked targets, the genuine bounding box fails to capture the appeara
Externí odkaz:
http://arxiv.org/abs/2309.13257
The recent advancements in transformer-based visual trackers have led to significant progress, attributed to their strong modeling capabilities. However, as performance improves, running latency correspondingly increases, presenting a challenge for r
Externí odkaz:
http://arxiv.org/abs/2309.09249
Current state-of-the-art (SOTA) methods in visual object tracking often require extensive computational resources and vast amounts of training data, leading to a risk of overfitting. This study introduces a more efficient training strategy to mitigat
Externí odkaz:
http://arxiv.org/abs/2309.02903
Recent Transformer-based visual tracking models have showcased superior performance. Nevertheless, prior works have been resource-intensive, requiring prolonged GPU training hours and incurring high GFLOPs during inference due to inefficient training
Externí odkaz:
http://arxiv.org/abs/2309.02676
Publikováno v:
BioResources, Vol 9, Iss 4, Pp 5928-5939 (2014)
Recently, Ailanthus altissima wood has received increased attention in China. Although Ailanthus altissima has a number of advantages, such as fast-growing character and high density, the low dimensional stability is a restraining factor. Chemical mo
Externí odkaz:
https://doaj.org/article/71266662125b442cbe826e4d33b8be03
Coverage path planning is a major application for mobile robots, which requires robots to move along a planned path to cover the entire map. For large-scale tasks, coverage path planning benefits greatly from multiple robots. In this paper, we descri
Externí odkaz:
http://arxiv.org/abs/2212.02231
Publikováno v:
Tongxin xuebao, Pp 92-102 (2007)
To set appropriate threshold value（ssthresh） of slow start and eliminate network oscillation caused by bursty traffic,a new measurement-based and phase-divided slow start mechanism was proposed,which was called MP-Start.MP-Start employs effective
Externí odkaz:
https://doaj.org/article/f3fac940e89b4027b2083faa7f2a3a6a