Zobrazeno 1 - 10
of 5 765
pro vyhledávání: '"Zhang, Yanan"'
Estimating the Cost of Informal Care with a Novel Two-Stage Approach to Individual Synthetic Control
Autor:
Petrillo, Maria, Ibarra, Daniel Valdenegro, Rahal, Charles, Zhang, Yanan, Pryce, Gwilym, Bennett, Matthew R.
Informal carers provide the majority of care for people living with challenges related to older age, long-term illness, or disability. However, the care they provide often results in a significant income penalty for carers, a factor largely overlooke
Externí odkaz:
http://arxiv.org/abs/2411.10314
Developing accurate and efficient detectors for drone imagery is challenging due to the inherent complexity of aerial scenes. While some existing methods aim to achieve high accuracy by utilizing larger models, their computational cost is prohibitive
Externí odkaz:
http://arxiv.org/abs/2411.02861
Foundational Vision-Language models such as CLIP have exhibited impressive generalization in downstream tasks. However, CLIP suffers from a two-level misalignment issue, i.e., task misalignment and data misalignment, when adapting to specific tasks.
Externí odkaz:
http://arxiv.org/abs/2410.12816
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