Results 31 to 40 of about 4,017 (161)
Siamese network features for image matching [PDF]
2016 23rd International Conference on Pattern Recognition (ICPR), 2016 Finding matching images across large datasets plays a key role in many computer vision applications such as structure-from-motion (SfM), multi-view 3D reconstruction, image retrieval, and image-based localisation. In this paper, we propose finding matching and non-matching pairs of images by representing them with neural network based feature vectors ...
Kannala, Juho +3 more
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Remote Sensing, 2023 Ship classification using the synthetic aperture radar (SAR) images has a significant role in remote sensing applications. Aiming at the problems of excessive model parameters numbers and high energy consumption in the traditional deep learning methods ...
Xinqiao Jiang +3 more
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Biomedicines, 2023 Sleep staging is of critical significance to the diagnosis of sleep disorders, and the electroencephalogram (EEG), which is used for monitoring brain activity, is commonly employed in sleep staging.
Yuyang You +3 more
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DASTSiam: Spatio‐temporal fusion and discriminative enhancement for Siamese visual tracking
IET Computer Vision, 2023 The use of deep neural networks has revolutionised object tracking tasks, and Siamese trackers have emerged as a prominent technique for this purpose.
Yucheng Huang +6 more
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A strong feature representation for siamese network tracker [PDF]
Multimedia Tools and Applications, 2020 Object tracking has important application in assistive technologies for personalized monitoring. Recent trackers choosing AlexNet as their backbone to extract features have gained great success. However, AlexNet is too shallow to form a strong feature representation, the tracker based on the Siamese network have an accuracy gap compared with state-of ...
Zhipeng Zhou, Rui Zhang, Dong Yin
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A Siamese Network Based U-Net for Change Detection in High Resolution Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Remote sensing image change detection (RSICD) is a technique that explores the change of surface coverage in a certain time series by studying the difference between multiple remote sensing images (RSIs) collected over the same area.
Tao Chen +5 more
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Siamese Networks for Semantic Pattern Similarity [PDF]
2019 IEEE 13th International Conference on Semantic Computing (ICSC), 2019 Semantic Pattern Similarity is an interesting, though not often encountered NLP task where two sentences are compared not by their specific meaning, but by their more abstract semantic pattern (e.g., preposition or frame). We utilize Siamese Networks to model this task, and show its usefulness in determining SQL patterns for unseen questions in a ...
Yassine Benajiba +5 more
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Developing a Siamese Network for Intrusion Detection Systems [PDF]
Proceedings of the 1st Workshop on Machine Learning and Systems, 2021 Machine Learning (ML) for developing Intrusion Detection Systems (IDS) is a fast-evolving research area that has many unsolved domain challenges. Current IDS models face two challenges that limit their performance and robustness. Firstly, they require large datasets to train and their performance is highly dependent on the dataset size.
Hanan Hindy +4 more
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Exploring Recurrent Neural Networks for On-Line Handwritten Signature Biometrics
IEEE Access, 2018 Systems based on deep neural networks have made a breakthrough in many different pattern recognition tasks. However, the use of these systems with traditional architectures seems not to work properly when the amount of training data is scarce.
Ruben Tolosana +3 more
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Enhancing Text Similarity Measurement with Hybrid Siamese Neural Networks and Lexical Features [PDF]
Advances in Engineering and Intelligence SystemsAccurately measuring text similarity holds significant importance in various text-centric applications, including text clustering, information retrieval, and question/answer systems.
Bei Zhou
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