Results 41 to 50 of about 26,776 (176)

Dense Siamese Network for Dense Unsupervised Learning

, 2022
ECCV2022 camera ...
Wenwei Zhang, Jiangmiao Pang, Kai Chen, Chen Change Loy   +3 more
openaire   +2 more sources

Siamese Neural Networks for Damage Detection and Diagnosis of Jacket-Type Offshore Wind Turbine Platforms

Mathematics, 2022
Offshore wind energy is increasingly being realized at deeper ocean depths where jacket foundations are now the greatest choice for dealing with the hostile environment. The structural stability of these undersea constructions is critical.
Joseph Baquerizo, Christian Tutivén, Bryan Puruncajas, Yolanda Vidal, José Sampietro   +4 more
doaj   +1 more source

Fully-Convolutional Siamese Networks for Object Tracking [PDF]

, 2016
The first two authors contributed equally, and are listed in alphabetical order.
Bertinetto, Luca, Valmadre, Jack, Henriques, João F., Vedaldi, Andrea, Torr, Philip H. S.   +4 more
openaire   +2 more sources

Improving Address Matching Using Siamese Transformer Networks

, 2023
To be published in the 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island - Azores, Portugal, 5-8 September 2023 ...
André V. Duarte, Arlindo L. Oliveira
openaire   +2 more sources

Triplet Network Template for Siamese Trackers [PDF]

IEEE Access, 2021
Siamese network based trackers describe object tracking as a similarity matching problem and these trackers achieve state-of-the-art performance on multiple benchmarks. However, due to the non-update of the appearance template and the change of the object appearance, the tracking drift problem often occurs, especially in the background clutter scene ...
Tao Shi, Donghui Wang, Hongge Ren
openaire   +2 more sources

SVTN: Siamese Visual Tracking Networks With Spatially Constrained Correlation Filter and Saliency Prior Context Model

IEEE Access, 2019
Recently, Siamese network based trackers have been greatly developed and achieved state-of-the-art performance on multiple benchmarks. However, the decision-making mechanism needs to be studied more deeply in order to obtain higher accuracy.
Bo Huang, Tingfa Xu, Shenwang Jiang, Yu Bai, Yiwen Chen   +4 more
doaj   +1 more source

Leveraging Native Language Speech for Accent Identification using Deep Siamese Networks

, 2017
The problem of automatic accent identification is important for several applications like speaker profiling and recognition as well as for improving speech recognition systems. The accented nature of speech can be primarily attributed to the influence of
Ganapathy, Sriram, Jyothi, Preethi, Siddhant, Aditya   +2 more
core   +1 more source

Identifying First-person Camera Wearers in Third-person Videos

, 2017
We consider scenarios in which we wish to perform joint scene understanding, object tracking, activity recognition, and other tasks in environments in which multiple people are wearing body-worn cameras while a third-person static camera also captures ...
Crandall, David J., Fan, Chenyou, Lee, Jangwon, Lee, Yong Jae, Ryoo, Michael S., Singh, Krishna Kumar, Xu, Mingze   +6 more
core   +1 more source

A Siamese ResNeXt network for predicting carotid intimal thickness of patients with T2DM from fundus images

Frontiers in Endocrinology
ObjectiveTo develop and validate an artificial intelligence diagnostic model based on fundus images for predicting Carotid Intima-Media Thickness (CIMT) in individuals with Type 2 Diabetes Mellitus (T2DM).MethodsIn total, 1236 patients with T2DM who had ...
AJuan Gong, Wanjin Fu, Heng Li, Na Guo, Tianrong Pan   +4 more
doaj   +1 more source

Fast and Accurate Visual Tracking with Group Convolution and Pixel-Level Correlation

Applied Sciences, 2023
Visual object trackers based on Siamese networks perform well in visual object tracking (VOT); however, degradation of the tracking accuracy occurs when the target has fast motion, large-scale changes, and occlusion. In this study, in order to solve this
Liduo Liu, Yongji Long, Guoning Li, Ting Nie, Chengcheng Zhang, Bin He   +5 more
doaj   +1 more source