Results 1 to 10 of about 5,390 (262)
Online Siamese Network for Visual Object Tracking
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
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
Photoplethysmogram Biometric Authentication Using a 1D Siamese Network [PDF]
Eui Chul Lee, Lee Eui Chul
exaly +2 more sources
Multitask Siamese Network for Remote Photoplethysmography and Respiration Estimation [PDF]
Cheolsoo Park +2 more
exaly +2 more sources
MASNET: IMPROVE PERFORMANCE OF SIAMESE NETWORKS WITH MUTUAL-ATTENTION FOR REMOTE SENSING CHANGE DETECTION TASKS [PDF]
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
A Classification Method for Electronic Components Based on Siamese Network [PDF]
Aimin Wang
exaly +2 more sources
A Time Sequence Images Matching Method Based on the Siamese Network [PDF]
Gongfa Li, Bo Tao, Xiliang Tong
exaly +2 more sources
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.
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
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

