Zobrazeno 1 - 10
of 3 508
pro vyhledávání: '"Zhao,Hang"'
CLIP, as a vision-language model, has significantly advanced Open-Vocabulary Semantic Segmentation (OVSS) with its zero-shot capabilities. Despite its success, its application to OVSS faces challenges due to its initial image-level alignment training
Externí odkaz:
http://arxiv.org/abs/2407.08268
Combinatorial Optimization (CO) problems are fundamentally crucial in numerous practical applications across diverse industries, characterized by entailing enormous solution space and demanding time-sensitive response. Despite significant advancement
Externí odkaz:
http://arxiv.org/abs/2406.19705
Mixture-of-Experts (MoE) has been demonstrated as an efficient method to scale up models. By dynamically and sparsely selecting activated experts, MoE can effectively reduce computational costs. Despite the success, we observe that many tokens in the
Externí odkaz:
http://arxiv.org/abs/2406.12375
Parkour is a grand challenge for legged locomotion, even for quadruped robots, requiring active perception and various maneuvers to overcome multiple challenging obstacles. Existing methods for humanoid locomotion either optimize a trajectory for a s
Externí odkaz:
http://arxiv.org/abs/2406.10759
Time series forecasting has become an increasingly popular research area due to its critical applications in various real-world domains such as traffic management, weather prediction, and financial analysis. Despite significant advancements, existing
Externí odkaz:
http://arxiv.org/abs/2406.05036
Autor:
Lai, Songning, Feng, Ninghui, Sui, Haochen, Ma, Ze, Wang, Hao, Song, Zichen, Zhao, Hang, Yue, Yutao
Publikováno v:
IJCAI2024 workshop
The field of time series forecasting has garnered significant attention in recent years, prompting the development of advanced models like TimeSieve, which demonstrates impressive performance. However, an analysis reveals certain unfaithfulness issue
Externí odkaz:
http://arxiv.org/abs/2405.19647
In optimizing performance and extending the lifespan of lithium batteries, accurate state prediction is pivotal. Traditional regression and classification methods have achieved some success in battery state prediction. However, the efficacy of these
Externí odkaz:
http://arxiv.org/abs/2404.07577
Autor:
Jiang, Zhou, Zhu, Zhenxin, Li, Pengfei, Gao, Huan-ang, Yuan, Tianyuan, Shi, Yongliang, Zhao, Hang, Zhao, Hao
Autonomous vehicles are gradually entering city roads today, with the help of high-definition maps (HDMaps). However, the reliance on HDMaps prevents autonomous vehicles from stepping into regions without this expensive digital infrastructure. This f
Externí odkaz:
http://arxiv.org/abs/2403.10521
Autonomous vehicles rely extensively on perception systems to navigate and interpret their surroundings. Despite significant advancements in these systems recently, challenges persist under conditions like occlusion, extreme lighting, or in unfamilia
Externí odkaz:
http://arxiv.org/abs/2403.09079
Autor:
Tian, Xiaoyu, Gu, Junru, Li, Bailin, Liu, Yicheng, Wang, Yang, Zhao, Zhiyong, Zhan, Kun, Jia, Peng, Lang, Xianpeng, Zhao, Hang
A primary hurdle of autonomous driving in urban environments is understanding complex and long-tail scenarios, such as challenging road conditions and delicate human behaviors. We introduce DriveVLM, an autonomous driving system leveraging Vision-Lan
Externí odkaz:
http://arxiv.org/abs/2402.12289