标题
Fast animal pose estimation using deep neural networks
作者
关键词
-
出版物
NATURE METHODS
Volume 16, Issue 1, Pages 117-125
出版商
Springer Nature
发表日期
2018-12-11
DOI
10.1038/s41592-018-0234-5
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- An automated behavior analysis system for freely moving rodents using depth image
- (2018) Zheyuan Wang et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Automated analysis of long-term grooming behavior in Drosophila using a k-nearest neighbors classifier
- (2018) Bing Qiao et al. eLife
- Optogenetic dissection of descending behavioral control in Drosophila
- (2018) Jessica Cande et al. eLife
- DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
- (2018) Alexander Mathis et al. NATURE NEUROSCIENCE
- Fully Convolutional Networks for Semantic Segmentation
- (2017) Evan Shelhamer et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- FlyLimbTracker: An active contour based approach for leg segment tracking in unmarked, freely behaving Drosophila
- (2017) Virginie Uhlmann et al. PLoS One
- Recovery of locomotion after injury inDrosophilamelanogasterdepends on proprioception
- (2016) Alexander Isakov et al. JOURNAL OF EXPERIMENTAL BIOLOGY
- The PSI–U1 snRNP interaction regulates male mating behavior inDrosophila
- (2016) Qingqing Wang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Predictability and hierarchy inDrosophilabehavior
- (2016) Gordon J. Berman et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Quantification of gait parameters in freely walking rodents
- (2015) César S. Mendes et al. BMC BIOLOGY
- Neural dynamics for landmark orientation and angular path integration
- (2015) Johannes D. Seelig et al. NATURE
- Mapping Sub-Second Structure in Mouse Behavior
- (2015) Alexander B. Wiltschko et al. NEURON
- Low-cost three-dimensional gait analysis system for mice with an infrared depth sensor
- (2015) Akihiro Nakamura et al. NEUROSCIENCE RESEARCH
- A quantitative framework for whole-body coordination reveals specific deficits in freely walking ataxic mice
- (2015) Ana S Machado et al. eLife
- Mapping the stereotyped behaviour of freely moving fruit flies
- (2014) G. J. Berman et al. Journal of the Royal Society Interface
- idTracker: tracking individuals in a group by automatic identification of unmarked animals
- (2014) Alfonso Pérez-Escudero et al. NATURE METHODS
- Toward a Science of Computational Ethology
- (2014) David J. Anderson et al. NEURON
- Semi-Automatic Classification of Birdsong Elements Using a Linear Support Vector Machine
- (2014) Ryosuke O. Tachibana et al. PLoS One
- Discovery of Brainwide Neural-Behavioral Maps via Multiscale Unsupervised Structure Learning
- (2014) J. T. Vogelstein et al. SCIENCE
- Multi-channel acoustic recording and automated analysis of Drosophila courtship songs
- (2013) Benjamin J Arthur et al. BMC BIOLOGY
- Efficient Multiple Object Tracking Using Mutually Repulsive Active Membranes
- (2013) Yi Deng et al. PLoS One
- Leg-tracking and automated behavioural classification in Drosophila
- (2013) Jamey Kain et al. Nature Communications
- Quantification of gait parameters in freely walking wild type and sensory deprived Drosophila melanogaster
- (2013) César S Mendes et al. eLife
- Inter-leg coordination in the control of walking speed in Drosophila
- (2012) A. Wosnitza et al. JOURNAL OF EXPERIMENTAL BIOLOGY
- JAABA: interactive machine learning for automatic annotation of animal behavior
- (2012) Mayank Kabra et al. NATURE METHODS
- Detailed tracking of body and leg movements of a freely walking female cricket during phonotaxis
- (2011) Georgios Petrou et al. JOURNAL OF NEUROSCIENCE METHODS
- High-throughput behavioral analysis in C. elegans
- (2011) Nicholas A Swierczek et al. NATURE METHODS
- High-throughput ethomics in large groups of Drosophila
- (2009) Kristin Branson et al. NATURE METHODS
- Automated monitoring and analysis of social behavior in Drosophila
- (2009) Heiko Dankert et al. NATURE METHODS
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started