Results 31 to 40 of about 5,390 (262)
Inverted Residual Siamese Visual Tracking With Feature Crossing Network
IEEE Access, 2021 Siamese networks based visual tracking has recently drawn great attention due to their superior representation and tracking accuracy. However, the backbone networks and prediction networks still cannot fully take advantage of features from modern deep ...
Feng Zhang +3 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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Siamese meta-learning network for social disputes based on multi-head attention [PDF]
PeerJ Computer ScienceFew-shot learning has been widely used in scenarios where labeled data is scarce, where meta-learning based few-shot classification is widely used, such as the Siamese network.
Jing Wang +4 more
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Multiple Object Tracking via Feature Pyramid Siamese Networks
IEEE Access, 2019 When multiple object tracking (MOT) based on the tracking-by-detection paradigm is implemented, the similarity metric between the current detections and existing tracks plays an essential role. Most of the MOT schemes based on a deep neural network learn
Sangyun Lee, Euntai Kim
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Research on few-shot power detection of siamese network based on improved RPN
Journal of Hebei University of Science and Technology, 2023 In order to solve the problems of difficulty, low efficiency, and insufficient data to support large-scale training in existing power system detection methods, a few-shot detection method based on siamese network was proposed.
Jun FENG +4 more
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Comprehensive survey on target tracking based on Siamese network
Journal of Hebei University of Science and Technology, 2022 In recent years,the target tracking algorithm based on Siamese network has attracted much attention because it can achieve a good balance between tracking accuracy and tracking efficiency.Through the intensive study of the literature of target tracking ...
Ming HAN +4 more
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Siamese Network for Fake Item Detection. [PDF]
, 2023 Currently, most multimedia users choose to purchase items through e-commerce. Nevertheless, one of the main concerns of online shopping is the possibility of obtaining counterfeit products. Therefore, it is crucial to monitor the product's authenticity, thus adopting an automatic mechanism to validate the similarity between the purchased item and the ...
Erica Coppolillo +5 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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Siamese networks for generating adversarial examples
CoRR, 2018 Machine learning models are vulnerable to adversarial examples. An adversary modifies the input data such that humans still assign the same label, however, machine learning models misclassify it. Previous approaches in the literature demonstrated that adversarial examples can even be generated for the remotely hosted model.
Mandar Kulkarni, Aria Abubakar
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Diagnostics, 2022 The critical structure and nature of different bone marrow cells which form a base in the diagnosis of haematological ailments requires a high-grade classification which is a very prolonged approach and accounts for human error if performed manually ...
Balasundaram Ananthakrishnan +5 more
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