Results 1 to 10 of about 5,390 (262)

Online Siamese Network for Visual Object Tracking

open access: yesSensors, 2019
Offline-trained Siamese networks are not robust to the environmental complication in visual object tracking. Without online learning, the Siamese network cannot learn from instance domain knowledge and adapt to appearance changes of targets.
Shuo Chang   +3 more
doaj   +3 more sources

SSCNN-S: A Spectral-Spatial Convolution Neural Network with Siamese Architecture for Change Detection

open access: yesRemote Sensing, 2021
In this paper, a spectral-spatial convolution neural network with Siamese architecture (SSCNN-S) for hyperspectral image (HSI) change detection (CD) is proposed.
Tianming Zhan   +6 more
doaj   +3 more sources

MASNET: IMPROVE PERFORMANCE OF SIAMESE NETWORKS WITH MUTUAL-ATTENTION FOR REMOTE SENSING CHANGE DETECTION TASKS [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Siamese networks are widely used for remote sensing change detection tasks. A vanilla siamese network has two identical feature extraction branches which share weights, these two branches work independently and the feature maps are not fused until about ...
H. Zhou   +6 more
doaj   +1 more source

Cooperative Use of Recurrent Neural Network and Siamese Region Proposal Network for Robust Visual Tracking

open access: yesIEEE Access, 2021
In order to solve the problems of unbalanced sample data and the lack of consideration of temporal information in existing Siamese-based trackers, this paper proposes a Siamese recurrent neural network and region proposal network (Siamese R-RPN), which ...
Xuechen Zhao, Yaoming Liu, Guang Han
doaj   +1 more source

Analysing Siamese Neural Network Architectures for Computing Name Similarity.

open access: yesInternational Journal of Population Data Science, 2022
Introduction A wide assortment of string similarity measures can be used to determine how similar two names are. A diverse set of discriminating and independent features for name similarity are important for classification during record linkage.
Nicholas Vinden   +2 more
doaj   +1 more source

Siamese Networks Based Deep Fusion Framework for Multi-Source Satellite Imagery

open access: yesIEEE Access, 2022
A critical aim of pansharpening is to fuse coherent spatial and spectral features from panchromatic and multispectral images respectively. This study proposes deep siamese network based pansharpening model as a two-stage framework in a multiscale setting.
Hannan Adeel   +3 more
doaj   +1 more source

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