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Interactive learning system neural network algorithm optimization. [PDF]
Cao H, Yu X, Han P, Peng J, Li D.
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DLML-PC: an automated deep learning and metric learning approach for precise soybean pod classification and counting in intact plants. [PDF]
Guo Y +7 more
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Predict the writer's trait emotional intelligence from reproduced calligraphy. [PDF]
Lyu R +6 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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