Results 1 to 10 of about 7,691,503 (199)
Pre-Training of Equivariant Graph Matching Networks with Conformation Flexibility for Drug Binding. [PDF]
Adv Sci (Weinh), 2022 The latest biological findings observe that the motionless “lock‐and‐key” theory is not generally applicable and that changes in atomic sites and binding pose can provide important information for understanding drug binding.
Wu F +9 more
europepmc +3 more sources
Convolutional Hough Matching Networks [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Despite advances in feature representation, leveraging geometric relations is crucial for establishing reliable visual correspondences under large variations of images. In this work we introduce a Hough transform perspective on convolutional matching and propose an effective geometric matching algorithm, dubbed Convolutional Hough Matching (CHM).
Juhong Min, Minsu Cho
openaire +4 more sources
Exchange Networks with Stochastic Matching
Games, 2022 This paper tries to prove that the outcomes stemming from interactions on assignment markets bring about coordination in case of a stochastic matching subject to various forms of expectations.
Arnaud Zlatko Dragicevic
doaj +3 more sources
Applying deep matching networks to Chinese medical question answering: a study and a dataset. [PDF]
BMC Med Inform Decis Mak, 2019 BackgroundMedical and clinical question answering (QA) is highly concerned by researchers recently. Though there are remarkable advances in this field, the development in Chinese medical domain is relatively backward.
He J, Fu M, Tu M.
europepmc +2 more sources
EMR Coding with Semi-Parametric Multi-Head Matching Networks. [PDF]
Proc Conf, 2018 Coding EMRs with diagnosis and procedure codes is an indispensable task for billing, secondary data analyses, and monitoring health trends. Both speed and accuracy of coding are critical.
Rios A, Kavuluru R.
europepmc +2 more sources
Semantic Attribute Matching Networks [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 We present semantic attribute matching networks (SAM-Net) for jointly establishing correspondences and transferring attributes across semantically similar images, which intelligently weaves the advantages of the two tasks while overcoming their limitations.
Seungryong Kim +5 more
openaire +4 more sources
Domain-Invariant Stereo Matching Networks [PDF]
European Conference on Computer Vision, 2020 State-of-the-art stereo matching networks have difficulties in generalizing to new unseen environments due to significant domain differences, such as color, illumination, contrast, and texture. In this paper, we aim at designing a domain-invariant stereo matching network (DSMNet) that generalizes well to unseen scenes.
Feihu Zhang +5 more
openaire +3 more sources
COMPARISON OF POINT MATCHING TECHNIQUES FOR ROAD NETWORK MATCHING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 Map conflation investigates the unique identification of geographical entities across different maps depicting the same geographic region. It involves a matching process which aims to find commonalities between geographic features.
A. Hackeloeer +3 more
doaj +5 more sources
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective [PDF]
Computer Vision and Pattern Recognition, 2022 Despite recent stereo matching networks achieving impressive performance given sufficient training data, they suffer from domain shifts and generalize poorly to unseen domains.
Jiawei Zhang +9 more
semanticscholar +1 more source
Bilateral Grid Learning for Stereo Matching Networks [PDF]
Computer Vision and Pattern Recognition, 2021 Real-time performance of stereo matching networks is important for many applications, such as automatic driving, robot navigation and augmented reality (AR).
Binfeng Xu +4 more
semanticscholar +1 more source