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Predict the writer's trait emotional intelligence from reproduced calligraphy. [PDF]

open access: yesSci Rep
Lyu R   +6 more
europepmc   +1 more source

Local Semantic Siamese Networks for Fast Tracking

IEEE Transactions on Image Processing, 2020
Learning 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
openaire   +4 more sources

Siamese-rPPG network

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
openaire   +1 more source

Siamese Ballistics Neural Network

2019 IEEE International Conference on Image Processing (ICIP), 2019
Firearm 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
openaire   +1 more source

Siamese Networks for Chromosome Classification

2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017
Karyotying 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
openaire   +1 more source

Siamese-ResNet: Implementing Loop Closure Detection based on Siamese Network

2018 IEEE Intelligent Vehicles Symposium (IV), 2018
Deep 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
openaire   +1 more source

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