Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Hexiang Hu"'
Publikováno v:
Frontiers in Materials, Vol 10 (2023)
In this study, the power function model was modified to explain the creep strain of coarse-grain and fine-grain soils in a uniform manner. And then, two creep subsidence prediction algorithms considering stress history and without considering stress
Externí odkaz:
https://doaj.org/article/a29724dad8d64d63ab6509e2fb5d80b2
Publikováno v:
Materials, Vol 15, Iss 16, p 5737 (2022)
Prefabricated composite shear walls (PCSW) consisting of steel plate clapped by single-sided or double-sided prefabricated reinforced concrete (RC) panels have enormous advantages for application as lateral-resisting structures in prefabricated high-
Externí odkaz:
https://doaj.org/article/f144ab67b2324ab19be9af950394bb3d
Publikováno v:
Low-carbon Materials and Green Construction. 1
The determination of carbon emission from foundation pit engineering is a tough and complex project owing to its characteristics including large material consumption, short use time, difficult recycling and no operation stage. To overcome these limit
Publikováno v:
Journal of Alloys and Compounds. 953:169869
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence.
Continual learning systems will interact with humans, with each other, and with the physical world through time -- and continue to learn and adapt as they do. An important open problem for continual learning is a large-scale benchmark that enables re
Publikováno v:
International Journal of Computer Vision. 129:1930-1953
Object recognition in the real-world requires handling long-tailed or even open-ended data. An ideal visual system needs to recognize the populated head visual concepts reliably and meanwhile efficiently learn about emerging new tail categories with
Publikováno v:
Archives of Civil & Mechanical Engineering (Elsevier Science); Mar2023, Vol. 23 Issue 1, p1-16, 16p
Publikováno v:
CVPR
Visual Semantic Embedding (VSE) is a dominant approach for vision-language retrieval, which aims at learning a deep embedding space such that visual data are embedded close to their semantic text labels or descriptions. Recent VSE models use complex
Publikováno v:
ACL
Learning to follow instructions is of fundamental importance to autonomous agents for vision-and-language navigation (VLN). In this paper, we study how an agent can navigate long paths when learning from a corpus that consists of shorter ones. We sho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16d0ac8ac025bd36fe7951e4fab74483
http://arxiv.org/abs/2005.04625
http://arxiv.org/abs/2005.04625
Publikováno v:
EMNLP (1)
Learning to fuse vision and language information and representing them is an important research problem with many applications. Recent progresses have leveraged the ideas of pre-training (from language modeling) and attention layers in Transformers t