Zobrazeno 1 - 10
of 5 603
pro vyhledávání: '"Zhang, Yanan"'
Bird's-Eye-View (BEV) representation has emerged as a mainstream paradigm for multi-view 3D object detection, demonstrating impressive perceptual capabilities. However, existing methods overlook the geometric quality of BEV representation, leaving it
Externí odkaz:
http://arxiv.org/abs/2409.01816
In recent years, Few-Shot Object Detection (FSOD) has gained widespread attention and made significant progress due to its ability to build models with a good generalization power using extremely limited annotated data. The fine-tuning based paradigm
Externí odkaz:
http://arxiv.org/abs/2408.05674
Autor:
Jiang, Zheng, Zhang, Jinqing, Zhang, Yanan, Liu, Qingjie, Hu, Zhenghui, Wang, Baohui, Wang, Yunhong
Although multi-view 3D object detection based on the Bird's-Eye-View (BEV) paradigm has garnered widespread attention as an economical and deployment-friendly perception solution for autonomous driving, there is still a performance gap compared to Li
Externí odkaz:
http://arxiv.org/abs/2407.10135
Existing 3D object detection suffers from expensive annotation costs and poor transferability to unknown data due to the domain gap, Unsupervised Domain Adaptation (UDA) aims to generalize detection models trained in labeled source domains to perform
Externí odkaz:
http://arxiv.org/abs/2406.19362
In recent years, autonomous driving has garnered escalating attention for its potential to relieve drivers' burdens and improve driving safety. Vision-based 3D occupancy prediction, which predicts the spatial occupancy status and semantics of 3D voxe
Externí odkaz:
http://arxiv.org/abs/2405.02595
The embedding-based retrieval (EBR) approach is widely used in mainstream search engine retrieval systems and is crucial in recent retrieval-augmented methods for eliminating LLM illusions. However, existing EBR models often face the "semantic drift"
Externí odkaz:
http://arxiv.org/abs/2404.05989
Autor:
Ye, Ge, Xie, Mengwei, Chen, Chufan, Zhang, Yanan, Zhang, Dongting, Ma, Xin, Zeng, Xiangyu, Yu, Fanghang, Liu, Yi, Wang, Xiaozhi, Cao, Guanghan, Xu, Xiaofeng, Chen, Xianhui, Yuan, Huiqiu, Cao, Chao, Lu, Xin
Publikováno v:
Phys. Rev. B 109, 054501(2024)
It is intriguing to explore the coexistence and (or) competition between charge-density-wave (CDW) and superconductivity (SC) in many correlated electron systems, such as cuprates, organic superconductors and dichacolgenides. Among them, the recently
Externí odkaz:
http://arxiv.org/abs/2402.06248
NeRF's high-quality scene synthesis capability was quickly accepted by scholars in the years after it was proposed, and significant progress has been made in 3D scene representation and synthesis. However, the high computational cost limits intuitive
Externí odkaz:
http://arxiv.org/abs/2401.12456
Autor:
Feng, Yongchao, Li, Shiwei, Gao, Yingjie, Huang, Ziyue, Zhang, Yanan, Liu, Qingjie, Wang, Yunhong
Though feature-alignment based Domain Adaptive Object Detection (DAOD) methods have achieved remarkable progress, they ignore the source bias issue, i.e., the detector tends to acquire more source-specific knowledge, impeding its generalization capab
Externí odkaz:
http://arxiv.org/abs/2311.10437