Zobrazeno 1 - 10
of 43 903
pro vyhledávání: '"An, Xiaoyi"'
Skin lesions are an increasingly significant medical concern, varying widely in severity from benign to cancerous. Accurate diagnosis is essential for ensuring timely and appropriate treatment. This study examines the implementation of deep learning
Externí odkaz:
http://arxiv.org/abs/2409.04381
Autor:
Cai, Xiaoyi, Queeney, James, Xu, Tong, Datar, Aniket, Pan, Chenhui, Miller, Max, Flather, Ashton, Osteen, Philip R., Roy, Nicholas, Xiao, Xuesu, How, Jonathan P.
Self-supervised learning is a powerful approach for developing traversability models for off-road navigation, but these models often struggle with inputs unseen during training. Existing methods utilize techniques like evidential deep learning to qua
Externí odkaz:
http://arxiv.org/abs/2409.03005
Autor:
Guzelturk, Burak, Portner, Joshua, Ondry, Justin, Ghanbarzadeh, Samira, Tarantola, Mia, Jeong, Ahhyun, Field, Thomas, Chandler, Alicia M., Wieman, Eliza, Hopper, Thomas R., Watkins, Nicolas E., Yue, Jin, Cheng, Xinxin, Lin, Ming-Fu, Luo, Duan, Kramer, Patrick L., Shen, Xiaozhe, Reid, Alexander H., Borkiewicz, Olaf, Ruett, Uta, Zhang, Xiaoyi, Lindenberg, Aaron M., Ma, Jihong, Schaller, Richard, Talapin, Dmitri V., Cotts, Benjamin L.
Symmetry control is essential for realizing unconventional properties, such as ferroelectricity, nonlinear optical responses, and complex topological order, thus it holds promise for the design of emerging quantum and photonic systems. Nevertheless,
Externí odkaz:
http://arxiv.org/abs/2408.15464
Many people die from lung-related diseases every year. X-ray is an effective way to test if one is diagnosed with a lung-related disease or not. This study concentrates on categorizing three distinct types of lung X-rays: those depicting healthy lung
Externí odkaz:
http://arxiv.org/abs/2408.13180
A long-standing challenge in end-user programming (EUP) is to trade off between natural user expression and the complexity of programming tasks. As large language models (LLMs) are empowered to handle semantic inference and natural language understan
Externí odkaz:
http://arxiv.org/abs/2408.12687
Since the invention of GPT2--1.5B in 2019, large language models (LLMs) have transitioned from specialized models to versatile foundation models. The LLMs exhibit impressive zero-shot ability, however, require fine-tuning on local datasets and signif
Externí odkaz:
http://arxiv.org/abs/2408.10691
Autor:
Zhao, Xiao, Chen, Bo, Sun, Mingyang, Yang, Dingkang, Wang, Youxing, Zhang, Xukun, Li, Mingcheng, Kou, Dongliang, Wei, Xiaoyi, Zhang, Lihua
Vision-based 3D semantic scene completion (SSC) describes autonomous driving scenes through 3D volume representations. However, the occlusion of invisible voxels by scene surfaces poses challenges to current SSC methods in hallucinating refined 3D ge
Externí odkaz:
http://arxiv.org/abs/2408.09104
Online vectorized High-Definition (HD) map construction is crucial for subsequent prediction and planning tasks in autonomous driving. Following MapTR paradigm, recent works have made noteworthy achievements. However, reference points are randomly in
Externí odkaz:
http://arxiv.org/abs/2408.08802
Autor:
Wu, Xiaoyi, Zhu, Zhimin, Lin, Ziyang, Mondal, Chandan, Lan, Jiangshan, Zhao, Xingbo, Vary, James P.
We investigate the singly virtual transition form factor (TFF) for the $\pi^0\to\gamma^*\gamma$ process in the space-like region using the hard-scattering formalism within the Basis Light-Front Quantization (BLFQ) framework. This form factor is expre
Externí odkaz:
http://arxiv.org/abs/2408.06871
Autor:
Ying, Rui, Hu, Mengting, Wu, Jianfeng, Xie, Yalan, Liu, Xiaoyi, Wang, Zhunheng, Jiang, Ming, Gao, Hang, Zhang, Linlin, Cheng, Renhong
Temporal knowledge graph completion aims to infer the missing facts in temporal knowledge graphs. Current approaches usually embed factual knowledge into continuous vector space and apply geometric operations to learn potential patterns in temporal k
Externí odkaz:
http://arxiv.org/abs/2408.06603