Zobrazeno 1 - 10
of 4 119
pro vyhledávání: '"Li Xuelong"'
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 41, Iss 6, Pp 1033-1043 (2023)
Aerial sensor fault detection is of great importance in flight missions. However, the dimensionality of sensor time-series data is extremely high and the time span is extremely long, which lead to poor detection performance of existing methods. To ad
Externí odkaz:
https://doaj.org/article/2009208adf7548fe89d8d7fc6cbe22b5
With the advancement of pre-trained vision-language (VL) models, enhancing the alignment between visual and linguistic modalities in downstream tasks has emerged as a critical challenge. Different from existing fine-tuning methods that add extra modu
Externí odkaz:
http://arxiv.org/abs/2412.10817
Graph contrastive learning (GCL) has been widely used as an effective self-supervised learning method for graph representation learning. However, how to apply adequate and stable graph augmentation to generating proper views for contrastive learning
Externí odkaz:
http://arxiv.org/abs/2412.08128
Autor:
Chen, Tianxing, Mu, Yao, Liang, Zhixuan, Chen, Zanxin, Peng, Shijia, Chen, Qiangyu, Xu, Mingkun, Hu, Ruizhen, Zhang, Hongyuan, Li, Xuelong, Luo, Ping
Recent advances in imitation learning for 3D robotic manipulation have shown promising results with diffusion-based policies. However, achieving human-level dexterity requires seamless integration of geometric precision and semantic understanding. We
Externí odkaz:
http://arxiv.org/abs/2411.18369
Open-vocabulary 3D scene understanding is indispensable for embodied agents. Recent works leverage pretrained vision-language models (VLMs) for object segmentation and project them to point clouds to build 3D maps. Despite progress, a point cloud is
Externí odkaz:
http://arxiv.org/abs/2411.16253
Autor:
Dai, Guangzhao, Zhao, Jian, Chen, Yuantao, Qin, Yusen, Zhao, Hao, Xie, Guosen, Yao, Yazhou, Shu, Xiangbo, Li, Xuelong
Vision-and-Language Navigation (VLN), where an agent follows instructions to reach a target destination, has recently seen significant advancements. In contrast to navigation in discrete environments with predefined trajectories, VLN in Continuous En
Externí odkaz:
http://arxiv.org/abs/2411.16053
Night-to-Day translation (Night2Day) aims to achieve day-like vision for nighttime scenes. However, processing night images with complex degradations remains a significant challenge under unpaired conditions. Previous methods that uniformly mitigate
Externí odkaz:
http://arxiv.org/abs/2411.14504
Autor:
Shao, Jiawei, Li, Xuelong
Recent advancements in large language models (LLMs) and their multimodal variants have led to remarkable progress across various domains, demonstrating impressive capabilities and unprecedented potential. In the era of ubiquitous connectivity, levera
Externí odkaz:
http://arxiv.org/abs/2411.12469
The application of intelligent decision-making in unmanned aerial vehicle (UAV) is increasing, and with the development of UAV 1v1 pursuit-evasion game, multi-UAV cooperative game has emerged as a new challenge. This paper proposes a deep reinforceme
Externí odkaz:
http://arxiv.org/abs/2411.02983
In the graph-based semi-supervised learning, the Green-function method is a classical method that works by computing the Green's function in the graph space. However, when applied to large graphs, especially those sparse ones, this method performs un
Externí odkaz:
http://arxiv.org/abs/2411.01792