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Counting Out Time: Class Agnostic Video Repetition Counting in the Wild
[article]
2020
arXiv
pre-print
Preserved Fulltext
in videos in the wild. ...
We also collect a new challenging dataset called Countix (~90 times larger than existing datasets) which captures the challenges of repetition counting in real-world videos. ...
It is composed of 100 class-agnostic test videos, annotated with the count of repeated actions. ...
arXiv:2006.15418v1
fatcat:fmml3vq26zdzpevdhslxb7kinq
Repetitive Activity Counting by Sight and Sound
[article]
2021
arXiv
pre-print
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This paper strives for repetitive activity counting in videos. ...
Different from existing works, which all analyze the visual video content only, we incorporate for the first time the corresponding sound into the repetition counting process. ...
The Countix dataset by Dwibedi et al. [11] serves
as the largest dataset for video repetition counting in the
wild. ...
arXiv:2103.13096v2
fatcat:esf3zhoi3jcybe6pfn3as5sx2q
Domain agnostic online semantic segmentation for multi-dimensional time series
2018
Data mining and knowledge discovery
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Unsupervised semantic segmentation in the time series domain is a much studied problem due to its potential to detect unexpected regularities and regimes in poorly understood data. ...
In this context, we test the algorithm on the largest and most diverse collection of time series datasets ever considered for this task and demonstrate the algorithm's superiority over current solutions ...
, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. ...
doi:10.1007/s10618-018-0589-3
pmid:30828258
pmcid:PMC6373324
fatcat:5w3c3m7gxngf3o75qqwyimaklq
Q QUANTITATIVE METHOD OF CALCULATING APPROACHES OF EXERCISES ON THE BASIS OF OUTPUT SIGNAL OF THE NEURAL NETWORK
2020
Upravlìnnâ rozvitkom skladnih sistem
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Today, artificial intelligence and computer vision systems are developing rapidly in the world; in particular, new architectures of neural networks that assess the three-dimensional human posture on video ...
The author proposes a new method of analysis of the output signal of the neural network, which estimates the position of a person in space that performs the calculation of repetitions of the exercise " ...
Debidatta Dwibedi 1, Yusuf Aytar 2,
Jonathan Tompson 1, Pierre Sermanet 1, and Andrew
Zisserman Counting Out Time: Class Agnostic Video
Repetition Counting in the Wild CVPR '20.
2.1.2. ...
doi:10.32347/2412-9933.2020.44.65-69
fatcat:t6qcsvgml5e5fj5rekktpfwsfi
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
[article]
2018
arXiv
pre-print
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It populates a majority of 563 object classes and 87 motion patterns in real-world, resulting in a scale of over 10 thousand video segments and 1.5 million bounding boxes. ...
We also carry out a series of analytical experiments to select a compact while highly representative testing subset -- it embodies 84 object classes and 32 motion patterns with only 180 video segments, ...
At the point of around 30 motion classes, the trend converges and stable evaluation can be achieved. Impact of repetition time. ...
arXiv:1810.11981v2
fatcat:7ckcfssrobby7m5vvqvkv2spxi
Breeze
2019
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
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A biofeedback-guided breathing training with Breeze takes place in real-time and achieves 75.5% accuracy in breathing phases detection. ...
The results of our study suggest that Breeze could potentially be utilized in clinical and self-care activities. Sailboat In h a le P a u se E xh a le P a u se ... ...
ACKNOWLEDGMENTS We would like to thank the anonymous reviewers of the paper, Filipe Barata and Marcia Nissen from ETH Zurich for supporting us in the data collection, and Helen Galliker from CSS Insurance ...
doi:10.1145/3369835
fatcat:juednoh3rbf7doj7hdgja6wq3a
Crop Agnostic Monitoring Driven by Deep Learning
2021
Frontiers in Plant Science
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Instance segmentation forms the backbone of this approach from which object location and class, object area, and yield information can be obtained. ...
Finally, a qualitative analysis shows the validity of this agnostic monitoring algorithm by supplying decision enabling information to the farmer such as the impact of a low level weeding intervention ...
ACKNOWLEDGMENTS This work was possible with the help of Patrick Zimmer, Elif Cansu Yildiz, Ramaswamy Venkatachalam, David Lenzen, Sumanth Nagulavancha, and Chun Ho Kong. ...
doi:10.3389/fpls.2021.786702
pmid:34987534
pmcid:PMC8722344
fatcat:pq32qqsj6ncrlfzxanzh2lejyy
Self-Supervised Representation Learning from Flow Equivariance
[article]
2021
arXiv
pre-print
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Our framework features a simple flow equivariance objective that encourages the network to predict the features of another frame by applying a flow transformation to the features of the current frame. ...
Our representations, learned from high-resolution raw video, can be readily used for downstream tasks on static images. ...
References agnostic video repetition counting in the wild. ...
arXiv:2101.06553v2
fatcat:nkp477lmwndifpturbxukaasni
Migrating Stories: Moving across the Code/Spaces of our Time
2019
Hyperrhiz
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My cursory survey at the time of writing counts over eighty companies that specialize in transmedia around the world. ...
repetition" (Hutcheon 2006, 9) (that is, "repetition without replication" (ibid., 7)), and the pleasure ones derives "from repetition with variation" (ibid., 4). ...
doi:10.20415/hyp/020.mov01
fatcat:difwlf2p4ndz7mdoyybthlnurm
Advances and Challenges in Deep Lip Reading
[article]
2021
arXiv
pre-print
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Advancements in these directions will expedite the transformation of silent speech interface from theory to practice. We also discuss the main modules of a VSR pipeline and the influential datasets. ...
Driven by deep learning techniques and large-scale datasets, recent years have witnessed a paradigm shift in automatic lip reading. ...
repetition in all the references. ...
arXiv:2110.07879v1
fatcat:eimcuzdz5va3vdlgw2g7y25tki
An automatic behavior recognition system classifies animal behaviors using movements and their temporal context
2019
Journal of Neuroscience Methods
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We use these spatiotemporal features in two steps of supervised classification that reflect two time-scales at which the behavior is structured. ...
We applied this intuition to design a new automatic behavior recognition system (ABRS) based on spatiotemporal features in the video data, heavily weighted for temporal dynamics and invariant to the animal's ...
It is key to point out that these are heuristics are based on the behaviors we have observed in wild-type flies, and that these corrections are applied in the last, optional curation step. ...
doi:10.1016/j.jneumeth.2019.108352
pmid:31415845
pmcid:PMC6779137
fatcat:oiu3mu7imvcz7e6nz4jkpzbz2y
Parent-of-origin effects on nuclear chromatin organization and behavior in a Drosophila model for Williams–Beuren Syndrome
2021
Vavilovskij Žurnal Genetiki i Selekcii
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As is shown in this study, the polytene X chromosome bands in reciprocal hybrids between agnts3 and the wild type strain Berlin are heterogeneous in modes of FEC regulation depending either on maternal ...
Recently, we have developed a Drosophila model for Williams–Beuren Syndrome (WBS): a mutant agnts3 of the agnostic locus (X:11AB) harboring the dlimk1 gene. ...
Taken together, our data indicate that the agnostic locus might belong to the class of quantitative trait loci (QTL) (Qin et al., 2019) . ...
doi:10.18699/vj21.054
pmid:34595370
pmcid:PMC8460428
fatcat:fn6vm6biarc5vbin5vjccs736a
Adaptive Text Recognition through Visual Matching
[article]
2020
arXiv
pre-print
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We introduce a new model that exploits the repetitive nature of characters in languages, and decouples the visual representation learning and linguistic modelling stages. ...
By doing this, we turn text recognition into a shape matching problem, and thereby achieve generalization in appearance and flexibility in classes. ...
This research is funded by a Google-DeepMind Graduate Scholarship and the EP-SRC Programme Grant Seebibyte EP/M013774/1. ...
arXiv:2009.06610v1
fatcat:mrdlx5ds4bcw5oihktp35qxvfe
Mouse Model Systems of Autism Spectrum Disorder: Replicability and Informatics Signature
[article]
2019
bioRxiv
pre-print
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The overall informatics analysis suggests two main classes of model systems that in some aspects lie on opposite ends of the behavioral spectrum, supporting the view that autism is not a unitary concept ...
Results: Results in the current study were very similar to our previously published results. ...
Rearing (Fig 11B) , and all measures in the arena center ( Fig. 12 : A -time, B -distance moved, C-rearing, D -stereotypic counts) were only decreased in the Shank3/F KO mice, relative to the WT control ...
doi:10.1101/561233
fatcat:ctfgibyo45hcdjv6l4sazka2fi
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
[article]
2020
arXiv
pre-print
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Yet, the absence of a unified evaluation for general visual representations hinders progress. ...
Popular protocols are often too constrained (linear classification), limited in diversity (ImageNet, CIFAR, Pascal-VOC), or only weakly related to representation quality (ELBO, reconstruction error). ...
To account for the training/evaluation stochasticity in VTAB, we sample (independently for every pair of model and task) one out of the three test-set repetitions, and compute the rank correlation between ...
arXiv:1910.04867v2
fatcat:wt57k37z3ncb7iugni26qd7roi
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