Zobrazeno 1 - 10
of 126 182
pro vyhledávání: '"Sota"'
Autor:
Zhang, Dun, FulongWang
A crucial component of many deep learning applications (such as FAQ and RAG) is dense retrieval, in which embedding models are used to convert raw text to numerical vectors and then get the most similar text by MIPS (Maximum Inner Product Search). So
Externí odkaz:
http://arxiv.org/abs/2412.19048
Autor:
Song, Mingcong, Tang, Xinru, Hou, Fengfan, Li, Jing, Wei, Wei, Ma, Yipeng, Xiao, Runqiu, Si, Hongjie, Jiang, Dingcheng, Yin, Shouyi, Hu, Yang, Long, Guoping
Meeting growing demands for low latency and cost efficiency in production-grade large language model (LLM) serving systems requires integrating advanced optimization techniques. However, dynamic and unpredictable input-output lengths of LLM, compound
Externí odkaz:
http://arxiv.org/abs/2412.18106
Publikováno v:
IEEE Robotics and Automation Letters, vol.9, no.12, pp.11881-11888, 2024
Correspondence-based point cloud registration (PCR) plays a key role in robotics and computer vision. However, challenges like sensor noises, object occlusions, and descriptor limitations inevitably result in numerous outliers. RANSAC family is the m
Externí odkaz:
http://arxiv.org/abs/2410.15682
Autor:
Tampu, Iulian Emil, Nyman, Per, Spyretos, Christoforos, Blystad, Ida, Shamikh, Alia, Prochazka, Gabriela, de Ståhl, Teresita Díaz, Sandgren, Johanna, Lundberg, Peter, Haj-Hosseini, Neda
Brain tumors are the most common solid tumors in children and young adults, but the scarcity of large histopathology datasets has limited the application of computational pathology in this group. This study implements two weakly supervised multiple-i
Externí odkaz:
http://arxiv.org/abs/2409.01330
This paper explores the potential of a small, domain-specific language model trained exclusively on sports-related data. We investigate whether extensive training data with specially designed small model structures can overcome model size constraints
Externí odkaz:
http://arxiv.org/abs/2409.00286
Autor:
Daneshvar, Seyed Shayan, Wang, Shaowei
Detection of Graphical User Interface (GUI) elements is a crucial task for automatic code generation from images and sketches, GUI testing, and GUI search. Recent studies have leveraged both old-fashioned and modern computer vision (CV) techniques. O
Externí odkaz:
http://arxiv.org/abs/2408.03507