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1
Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09164-2
Abstract: Because AlexNet is too shallow to form a strong feature representation, the trackers based on the Siamese network have an accuracy gap comparing with state-of-the-art algorithms. Both deep features and appearance features benefit tracking accuracy.…
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Keywords:
siamese network;
strong feature;
feature representation;
network ... See more keywords
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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.055
Abstract: Abstract In many public security applications such as anomaly detection, it is important to re-identify a group of pedestrians by other surveillance cameras, which ascribes to the group retrieval problem. Most previous studies focus on…
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Keywords:
siamese network;
pedestrian group;
group;
group retrieval ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3005511
Abstract: Siamese network based visual tracking has drawn considerable attention recently due to the balanced accuracy and speed. This type of method mostly trains a relatively shallow twin network offline, and measures the similarity online using…
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Keywords:
visual tracking;
siamese network;
attention;
feature ... See more keywords
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1
Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3043878
Abstract: Due to the deficiency of prior information for online updating process, the tracking accuracy of fully-convolutional Siamese network (SiamFC) in complex scenes such as similar object interference, fast moving, and appearance change is not good.…
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Keywords:
siamese network;
kalman;
object tracking;
kalman filter ... See more keywords
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1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3143847
Abstract: 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…
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Keywords:
multi;
framework;
siamese network;
network ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3145982
Abstract: The traditional non-intrusive load monitoring (NILM) algorithms are mostly based on classification models, which have several deficiencies. Firstly, a large amount of labeled data is required to train the classification model. Secondly, these algorithms cannot…
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Keywords:
network;
siamese network;
load identification;
load ... See more keywords
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2
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3163717
Abstract: Visual tracking remains an open challenge, as it requires real-time and long-term accurate target prediction. Siamese network has been widely studied due to its excellent accuracy and speed. Since long-term tracking may lead to model…
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Keywords:
network;
siamese network;
attention network;
attention ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3182792
Abstract: Object tracking is a technique for tracking a specific object appearing in a video sequence while observing its features or changes. Recently, many algorithms showing high performance have emerged by applying the Siamese network to…
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Keywords:
object tracking;
siamese network;
reinforcement learning;
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1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3192466
Abstract: The existing Siamese trackers have achieved increasingly results in visual tracking. However, the contextual association between template and search region is not been fully studied in previous Siamese Network-based methods, meanwhile, the feature information of…
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Keywords:
network;
siamese network;
cross correlation;
context related ... See more keywords
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2
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3249462
Abstract: Image captioning is a process of automatically generating descriptive sentences for a given image. Text-to-image search is a form of search in which images are retrieved based on matching keywords and image features. We focus…
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Keywords:
siamese network;
skin;
classification;
image captioning ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3211695
Abstract: The availability of many commercial satellites has created favorable conditions for tracking typical objects in remote sensing sequences, making them useful in numerous applications. However, small objects, multiple similar disruptors, background clutter, and occlusion are…
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Keywords:
information;
motion compensation;
siamese network;
motion ... See more keywords