Zobrazeno 1 - 10
of 23 752
pro vyhledávání: '"yang, Wen"'
Detecting oriented tiny objects, which are limited in appearance information yet prevalent in real-world applications, remains an intricate and under-explored problem. To address this, we systemically introduce a new dataset, benchmark, and a dynamic
Externí odkaz:
http://arxiv.org/abs/2412.11582
Tiny objects, with their limited spatial resolution, often resemble point-like distributions. As a result, bounding box prediction using point-level supervision emerges as a natural and cost-effective alternative to traditional box-level supervision.
Externí odkaz:
http://arxiv.org/abs/2412.05837
Prompting and fine-tuning have emerged as two competing paradigms for augmenting language models with new capabilities, such as the use of tools. Prompting approaches are quick to set up but rely on providing explicit demonstrations of each tool's us
Externí odkaz:
http://arxiv.org/abs/2412.05967
Autor:
Zhang, Haitian, Wang, Xiangyuan, Xu, Chang, Wang, Xinya, Xu, Fang, Yu, Huai, Yu, Lei, Yang, Wen
Fusing Events and RGB images for object detection leverages the robustness of Event cameras in adverse environments and the rich semantic information provided by RGB cameras. However, two critical mismatches: low-latency Events \textit{vs.}~high-late
Externí odkaz:
http://arxiv.org/abs/2412.04149
Making multi-camera visual SLAM systems easier to set up and more robust to the environment is always one of the focuses of vision robots. Existing monocular and binocular vision SLAM systems have narrow FoV and are fragile in textureless environment
Externí odkaz:
http://arxiv.org/abs/2412.03146
In the realm of large-scale point cloud registration, designing a compact symbolic representation is crucial for efficiently processing vast amounts of data, ensuring registration robustness against significant viewpoint variations and occlusions. Th
Externí odkaz:
http://arxiv.org/abs/2412.02998
Autor:
Zhang, Wanyue, Li, Ziyong, Yang, Wen, Leng, Chunlin, Bai, Yinan, Du, Qianlong, Zong, Chengqing, Zhang, Jiajun
During the development of large language models (LLMs), pre-training data play a critical role in shaping LLMs' capabilities. In recent years several large-scale and high-quality pre-training datasets have been released to accelerate the research of
Externí odkaz:
http://arxiv.org/abs/2411.19668
Unmanned Aerial Vehicle (UAV) Cross-View Geo-Localization (CVGL) presents significant challenges due to the view discrepancy between oblique UAV images and overhead satellite images. Existing methods heavily rely on the supervision of labeled dataset
Externí odkaz:
http://arxiv.org/abs/2411.14816
The thermodynamic limits of the XYZ spin chain with periodic or twisted boundary conditions are studied. By using the technique of characterizing the eigenvalue of the transfer matrix by the $T-Q$ relation and by the zeros of the associated polynomia
Externí odkaz:
http://arxiv.org/abs/2411.12200
Publikováno v:
Journal of High Energy Astrophysics 41 (2024) 22-29
We investigate the cyclotron resonant scattering features (CRSFs) of the accreting X-ray pulsar Cen X-3 and significantly detect the 29 keV cyclotron line features in the hard X-ray averaged spectroscopy studies based on the recent Insight-HXMT obser
Externí odkaz:
http://arxiv.org/abs/2410.20520