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ABSTRACT The persistence of participatory budgeting (PB) in selected Chinese localities challenges the conventional wisdom that deliberative democratic practices can only take root in liberal political environments. Yet, existing literature has not sufficiently elucidated the factors underpinning the rise and sustained operation of PB in this seemingly
Yifei Yan +3 more
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Local Semantic Siamese Networks for Fast Tracking
IEEE Transactions on Image Processing, 2020Learning a powerful feature representation is critical for constructing a robust Siamese tracker. However, most existing Siamese trackers learn the global appearance features of the entire object, which usually suffers from drift problems caused by partial occlusion or non-rigid appearance deformation.
Zhiyuan Liang, Jianbing Shen
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Proceedings of the 35th Annual ACM Symposium on Applied Computing, 2020
Remote photoplethysmography (rPPG) is a contactless method for heart rate (HR) estimation from face videos. In this paper, we propose to estimate rPPG signals directly from input video sequences in an end-to-end manner. We propose a novel Siamese-rPPG network to simultaneously learn the heterogeneous and homogeneous features from two facial regions ...
Yun-Yun Tsou +3 more
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Remote photoplethysmography (rPPG) is a contactless method for heart rate (HR) estimation from face videos. In this paper, we propose to estimate rPPG signals directly from input video sequences in an end-to-end manner. We propose a novel Siamese-rPPG network to simultaneously learn the heterogeneous and homogeneous features from two facial regions ...
Yun-Yun Tsou +3 more
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Siamese Ballistics Neural Network
2019 IEEE International Conference on Image Processing (ICIP), 2019Firearm identification is crucial in many investigative scenario. The crime scene often contains traces left by firearms in terms of bullets and cartridges. Traces analysis is a fundamental step in the Forensics Ballistics Analysis Process to identify which firearm fired a specific cartridge.
Giudice O. +4 more
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Siamese Networks for Chromosome Classification
2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017Karyotying is the process of pairing and ordering 23 pairs of human chromosomes from cell images on the basis of size, centromere position, and banding pattern. Karyotyping during metaphase is often used by clinical cytogeneticists to analyze human chromosomes for diagnostic purposes.
null Swati +4 more
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Siamese-ResNet: Implementing Loop Closure Detection based on Siamese Network
2018 IEEE Intelligent Vehicles Symposium (IV), 2018Deep learning has made significant breakthroughs in the tasks of image classification, detection, segmentation, etc. However, the application of deep learning in robotics is still scarce. SLAM is a fundamental problem in robotics and loop closure detection is an important part of SLAM. This paper attempts to use supervised learning methods to solve the
Kai Qiu +4 more
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Siamese Neural Networks: An Overview
2020Similarity has always been a key aspect in computer science and statistics. Any time two element vectors are compared, many different similarity approaches can be used, depending on the final goal of the comparison (Euclidean distance, Pearson correlation coefficient, Spearman's rank correlation coefficient, and others). But if the comparison has to be
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Face Recognition Using Siamese Network
2020Face recognition has become very popular in biometrics in recent time, especially after the availability of GPU-based processing technology and ease of implementing deep learning methodologies. Still, it is treated as computationally expensive when the training database is large and efficiency is in stake when little data is available for training. One
Srinibas Rana, Dakshina Ranjan Kisku
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Palmprint Recognition Using Siamese Network
2018Recently, palmprint representation using different descriptors under the incorporation of deep neural networks, always achieves significant recognition performance. In this paper, we proposed a novel method to achieve end-to-end palmprint recognition by using Siamese network.
Dexing Zhong, Yuan Yang, Xuefeng Du
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