Results 31 to 40 of about 29,223 (229)
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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SSM-Net for Plants Disease Identification in Low Data Regime
, 2020 Plant disease detection is an essential factor in increasing agricultural production. Due to the difficulty of disease detection, farmers spray various pesticides on their crops to protect them, causing great harm to crop growth and food standards.
Jadon, Shruti
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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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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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Online Siamese Network for Visual Object Tracking
Sensors, 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
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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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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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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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Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences [PDF]
, 2015 With the rapid proliferation of smart mobile devices, users now take millions of photos every day. These include large numbers of clothing and accessory images.
Bala, Kavita +5 more
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