Zobrazeno 1 - 10
of 3 774
pro vyhledávání: '"Xu Long An"'
Autor:
Dai, Dawei, Zhang, Yuanhui, Xu, Long, Yang, Qianlan, Shen, Xiaojing, Xia, Shuyin, Wang, Guoyin
The previous advancements in pathology image understanding primarily involved developing models tailored to specific tasks. Recent studies has demonstrated that the large vision-language model can enhance the performance of various downstream tasks i
Externí odkaz:
http://arxiv.org/abs/2408.09530
Interactive segmentation algorithms based on click points have garnered significant attention from researchers in recent years. However, existing studies typically use sparse click maps as model inputs to segment specific target objects, which primar
Externí odkaz:
http://arxiv.org/abs/2408.06021
Just as humans can become disoriented in featureless deserts or thick fogs, not all environments are conducive to the Localization Accuracy and Stability (LAS) of autonomous robots. This paper introduces an efficient framework designed to enhance LiD
Externí odkaz:
http://arxiv.org/abs/2408.01649
Autor:
Wang, Ze, Li, Yang, Xu, Long, Shi, Hao, Ma, Zunwang, Chu, Zhen, Li, Chao, Gao, Fei, Yang, Kailun, Wang, Kaiwei
Dynamic jumping on high platforms and over gaps differentiates legged robots from wheeled counterparts. Compared to walking on rough terrains, dynamic locomotion on abrupt surfaces requires fusing proprioceptive and exteroceptive perception for explo
Externí odkaz:
http://arxiv.org/abs/2408.00486
Autor:
Xu, Long
Rapid progress in AI technologies has generated considerable interest in their potential to address challenges in every field and education is no exception. Improving learning outcomes and providing relevant education to all have been dominant themes
Externí odkaz:
http://arxiv.org/abs/2407.15326
In recent times, an increasing number of researchers have been devoted to utilizing deep neural networks for end-to-end flight navigation. This approach has gained traction due to its ability to bridge the gap between perception and planning that exi
Externí odkaz:
http://arxiv.org/abs/2405.07736
Click-point-based interactive segmentation has received widespread attention due to its efficiency. However, it's hard for existing algorithms to obtain precise and robust responses after multiple clicks. In this case, the segmentation results tend t
Externí odkaz:
http://arxiv.org/abs/2405.04009
In group sequential designs, where several data looks are conducted for early stopping, we generally assume the vector of test statistics from the sequential analyses follows (at least approximately or asymptotially) a multivariate normal distributio
Externí odkaz:
http://arxiv.org/abs/2404.12483
Interactive segmentation has gained significant attention for its application in human-computer interaction and data annotation. To address the target scale variation issue in interactive segmentation, a novel multi-scale token adaptation algorithm i
Externí odkaz:
http://arxiv.org/abs/2401.04403
We investigate the persistent orientation of asymmetric-top molecules induced by time-delayed THz pulses that are either collinearly or cross polarized. Our theoretical and numerical results demonstrate that the orthogonal configuration outperforms t
Externí odkaz:
http://arxiv.org/abs/2312.01579