Zobrazeno 1 - 10
of 33 700
pro vyhledávání: '"WANG Yuan~"'
Classifying fine-grained actions in fast-paced, close-combat sports such as fencing and boxing presents unique challenges due to the complexity, speed, and nuance of movements. Traditional methods reliant on pose estimation or fancy sensor data often
Externí odkaz:
http://arxiv.org/abs/2412.16454
Image to point cloud global localization is crucial for robot navigation in GNSS-denied environments and has become increasingly important for multi-robot map fusion and urban asset management. The modality gap between images and point clouds poses s
Externí odkaz:
http://arxiv.org/abs/2412.15577
Publikováno v:
EMNLP 2024
Artificial intelligence has advanced in Medical Visual Question Answering (Med-VQA), but prevalent research tends to focus on the accuracy of the answers, often overlooking the reasoning paths and interpretability, which are crucial in clinical setti
Externí odkaz:
http://arxiv.org/abs/2412.13736
Autor:
Luo, Enming, Qiao, Wei, Warren, Katie, Li, Jingxiang, Xiao, Eric, Viswanathan, Krishna, Wang, Yuan, Liu, Yintao, Li, Jimin, Fuxman, Ariel
We present a scalable and agile approach for ads image content moderation at Google, addressing the challenges of moderating massive volumes of ads with diverse content and evolving policies. The proposed method utilizes human-curated textual descrip
Externí odkaz:
http://arxiv.org/abs/2412.16215
Blockchain data analysis is essential for deriving insights, tracking transactions, identifying patterns, and ensuring the integrity and security of decentralized networks. It plays a key role in various areas, such as fraud detection, regulatory com
Externí odkaz:
http://arxiv.org/abs/2412.09640
The success of text-to-image generation enabled by diffuion models has imposed an urgent need to erase unwanted concepts, e.g., copyrighted, offensive, and unsafe ones, from the pre-trained models in a precise, timely, and low-cost manner. The twofol
Externí odkaz:
http://arxiv.org/abs/2412.06143
Autor:
Wang, Yuan-Heng, Gupta, Hoshin V.
Despite the excellent real-world predictive performance of modern machine learning (ML) methods, many scientists remain hesitant to discard traditional physical-conceptual (PC) approaches due mainly to their relative interpretability, which contribut
Externí odkaz:
http://arxiv.org/abs/2412.04845
Autor:
Wang, Yuhao, Pan, Junwei, Zhao, Xiangyu, Jia, Pengyue, Wang, Wanyu, Wang, Yuan, Liu, Yue, Liu, Dapeng, Jiang, Jie
Sequential recommendation (SR) aims to model the sequential dependencies in users' historical interactions to better capture their evolving interests. However, existing SR approaches primarily rely on collaborative data, which leads to limitations su
Externí odkaz:
http://arxiv.org/abs/2412.04107
We show that there exists a huge amount of multipartite entanglement in holography by studying the upper bound for holographic $n$-partite information $I_n$ that $n-1$ fixed boundary subregions participate. We develop methods to find the $n$-th regio
Externí odkaz:
http://arxiv.org/abs/2411.19207
Autor:
Huang, Suyuan, Zhang, Chao, Wu, Yuanyuan, Zhang, Haoxin, Wang, Yuan, Wang, Maolin, Cao, Shaosheng, Xu, Tong, Zhao, Xiangyu, Qin, Zengchang, Gao, Yan, Bai, Yunhan, Fan, Jun, Hu, Yao, Chen, Enhong
Dense retrieval in most industries employs dual-tower architectures to retrieve query-relevant documents. Due to online deployment requirements, existing real-world dense retrieval systems mainly enhance performance by designing negative sampling str
Externí odkaz:
http://arxiv.org/abs/2411.15766