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Learning Joint Gait Representation via Quintuplet Loss Minimization
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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In this paper, we propose a new Joint Unique-gait and Cross-gait Network (JUCNet) representation, to combine the advantages of both schemes, leading to significantly improved performance. ...
Most of the current approaches for gait recognition either use a pair of gait images to form a cross-gait representation or rely on a single gait image for unique-gait representation. ...
Joint Learning with a Quintuplet Loss Our method jointly learns unique-gait and cross-gait representations based on a proposed quintuplet loss. ...
doi:10.1109/cvpr.2019.00483
dblp:conf/cvpr/ZhangL00L19
fatcat:lehrjjgcoba4jedhmonwmqetje
Deep Gait Recognition: A Survey
[article]
2022
arXiv
pre-print
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Deep learning has reshaped the research landscape in this area since 2015 through the ability to automatically learn discriminative representations. ...
Gait recognition methods based on deep learning now dominate the state-of-the-art in the field and have fostered real-world applications. ...
If the pair of samples is anchorneighbor, the loss function minimizes their distance; otherwise, it increases their distance. ...
arXiv:2102.09546v2
fatcat:iwzddzjy2rhunbuqz7h6tso5ii
Cross-View Gait Recognition using Pairwise Spatial Transformer Networks
2020
IEEE transactions on circuits and systems for video technology (Print)
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Although registration may reduce not only intra-subject variations but also inter-subject variations, we can still achieve a good trade-off between them using a loss function designed to optimize recognition ...
Experiments on three publicly available gait datasets demonstrate that the proposed method yields superior performance for both verification and identification scenarios by combining any gait recognition ...
[22] proposed a joint network to combine the advantages of using a single input and a pair of inputs with the quintuplet loss function. ...
doi:10.1109/tcsvt.2020.2975671
fatcat:rw3jepumbrayzettmrm57mmbge
Image Enhancement via Deep Spatial and Temporal Networks
[article]
2022
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First, for single image deblurring, a new framework is presented which firstly learns how to transfer sharp images to realistic blurry images via a learning-to-blur Generative Adversarial Network (GAN) ...
basis of deep residual neural networks are employed to capture better spatio-temporal features, and train the proposed network with both the content loss and adversarial loss to drive the model to generate ...
A.3 Joint Learning with a Quintuplet Loss Our method jointly learns unique-gait and cross-gait representations based on a proposed quintuplet loss. ...
doi:10.25911/m3g8-5125
fatcat:clxc6wgz6zf6tf5tkqqgkrlgli
37th Meeting of the Canadian Congress of Neurological Sciences
2002
Canadian Journal of Neurological Sciences
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Methods: We report on two patients with gastrocnemius weakness leading to loss of plantar flexion and a flat-footed gait. ...
Test-retest learning effects might result on improved scores. ...
doi:10.1017/s0317167100049775
fatcat:j5rigejlgbhpzgev3esb4cq4em
Long jump : the developing technique in young females
2017
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Investigation into joint kinetics in gait has also concluded that work at all joints occurs outside the 2D plane. ...
mechanical energy is removed via eccentric muscle activity'. ...
doi:10.24377/ljmu.t.00006021
fatcat:5hhieajrqbfibhp4vsepn4jyvi
UKnowledge TEMPORAL NEUROMUSCULAR ALTERATIONS OF THE QUADRICEPS AFTER UNILATERAL ANTERIOR CRUCIATE LIGAMENT RECONSTRUCTION
unpublished
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subsequent biomechanical gait alterations. ...
During normal gait, three to four times of an individual's bodyweight is transmitted through their knee-joint. 73 To limit excessive joint loading, the quadriceps serve as the primary shock absorber ...
fatcat:paonh3sgnnealopw2fuc5qsfrq
Summaries submitted
2018
Advances in Animal Biosciences
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The primary data was collected through household survey using pretested semi structured questionnaire via face to face interview during July 2016 to February 2017. ...
This uncertainty in the weather and weather related hazards is causing huge economical loss to the livestock farmers so livestock insurance is the best way to reduce the economic loss of the livestock ...
Joint dysfunction and asymmetry are strong indicators for uneven loading of bones and joints and consequent RSI. ...
doi:10.1017/s2040470018000031
fatcat:l5kf3kspwjb4nokzjkbpgchn6u
Current Research on Multiple Births
1991
Acta geneticae medicae et gemellologiae twin research
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The mean weight of the 40 quintuplet individuals was 1,048 g. ...
Transvaginal patients elected pregnancy termination prior to 24 termination via vaginal delivery. ...
doi:10.1017/s0001566000002646
fatcat:faqid2g6obdzhnkzewdscaqdp4
City Shoe, Country Sandal: Somatic Geographies and Kinesthetic Translations Among High-Altitude Quechua Athletes in the Peruvian Andes
2022
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I argue that we can only understand the manner in which humans learn to move through their environments by attending to the communicative acts that structure and scaffold their embodied learning. ...
Indeed, language acquisition and loss have remained the dominant frames through which to understand Indigenous migration in the Andes. ...
Movement patterns will be ingrained through collaborative and communicative work, gait and stride built upon registers and cues, talk before and after training and competitions. ...
doi:10.7302/4690
fatcat:7bgdouvyobg5lkcns3eh4fj2v4