Siamese Networks-Based People Tracking Using Template Update for 360-Degree Videos Using EAC Format [PDF]
Sensors, 2021 Rich information is provided by 360-degree videos. However, non-uniform geometric deformation caused by sphere-to-plane projection significantly decreases tracking accuracy of existing trackers, and the huge amount of data makes it difficult to achieve ...
Kuan-Chen Tai, Chih-Wei Tang
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Siamese Networks for Clinically Relevant Bacteria Classification Based on Raman Spectroscopy [PDF]
MoleculesIdentifying bacterial strains is essential in microbiology for various practical applications, such as disease diagnosis and quality monitoring of food and water.
Jhonatan Contreras +3 more
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Integrating Egocentric and Robotic Vision for Object Identification Using Siamese Networks and Superquadric Estimations in Partial Occlusion Scenarios [PDF]
BiomimeticsThis paper introduces a novel method that enables robots to identify objects based on user gaze, tracked via eye-tracking glasses. This is achieved without prior knowledge of the objects’ categories or their locations and without external markers.
Elisabeth Menendez +3 more
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MASNET: IMPROVE PERFORMANCE OF SIAMESE NETWORKS WITH MUTUAL-ATTENTION FOR REMOTE SENSING CHANGE DETECTION TASKS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 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
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SiamOT: An Improved Siamese Network with Online Training for Visual Tracking
Sensors, 2022 As a prevailing solution for visual tracking, Siamese networks manifest high performance via convolution neural networks and weight-sharing schemes.
Xiaomei Gong, Yuxin Zhou, Yi Zhang
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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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Applied Sciences, 2021 Over the last few years, several techniques have been developed with the aim of implementing one-shot learning, a concept that allows classifying images with only a single image per training category. Conceptually, these methods seek to reproduce certain
Jaime Duque Domingo +2 more
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SpeakerNet for Cross-lingual Text-Independent Speaker Verification
Archives of Acoustics, 2020 Biometrics provide an alternative to passwords and pins for authentication. The emergence of machine learning algorithms provides an easy and economical solution to authentication problems.
Hafsa HABIB +4 more
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Journal of Cheminformatics, 2023 Siamese networks, representing a novel class of neural networks, consist of two identical subnetworks sharing weights but receiving different inputs. Here we present a similarity-based pairing method for generating compound pairs to train Siamese neural ...
Yumeng Zhang +6 more
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Furniture Style Compatibility Estimation by Multi-Branch Deep Siamese Network
Mathematical and Computational Applications, 2022 As demands for understanding visual style among interior scenes increase, estimating style compatibility is becoming challenging. In particular, furniture styles are difficult to define due to their various elements, such as color and shape. As a result,
Ayumu Taisho +4 more
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