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DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Applied Predictive Modeling
inferredcites →https://doi.org/10.1007/978-3-030-01216-8_44openalex-snapshot
Multi-Scale Structure-Aware Network for Human Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-46466-4_3openalex-snapshot
DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_43openalex-snapshot
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
inferredcites →https://doi.org/10.1007/978-3-319-46484-8_29openalex-snapshot
Stacked Hourglass Networks for Human Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-658-40442-0_9openalex-snapshot
Generative Adversarial Nets
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Hybrid Monte Carlo
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The Striatum Organizes 3D Behavior via Moment-to-Moment Action Selection
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Visual sensory networks and effective information transfer in animal groups
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Consistent Individual Differences Drive Collective Behavior and Group Functioning of Schooling Fish
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Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control
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Toward a Science of Computational Ethology
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Mapping Sub-Second Structure in Mouse Behavior
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Neuroscience Needs Behavior: Correcting a Reductionist Bias
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Automated image-based tracking and its application in ecology
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Automatic early stopping using cross validation: quantifying the criteria
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ANALYSE MATHÉMATIQUE. – Méthodc générale pour la résolution des systèmes d'équations simultanées
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The American Association for the Advancement of Science
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Hierarchical group dynamics in pigeon flocks
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Deep learning
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Behavioural individuality in clonal fish arises despite near-identical rearing conditions
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Leg-tracking and automated behavioural classification in Drosophila
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FlyMAD: rapid thermogenetic control of neuronal activity in freely walking Drosophila
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idTracker: tracking individuals in a group by automatic identification of unmarked animals
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Virtual reality for freely moving animals
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Genome engineering using the CRISPR-Cas9 system
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Ethology as a physical science
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An open-source platform for analyzing and sharing worm-behavior data
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Content-aware image restoration: pushing the limits of fluorescence microscopy
inferredcites →https://doi.org/10.1038/s41592-018-0234-5openalex-snapshot
Fast animal pose estimation using deep neural networks
inferredcites →https://doi.org/10.1038/s41592-018-0295-5openalex-snapshot
idtracker.ai: tracking all individuals in small or large collectives of unmarked animals
inferredcites →https://doi.org/10.1038/s41593-018-0209-yopenalex-snapshot
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
inferredcites →https://doi.org/10.1038/s41596-019-0176-0openalex-snapshot
Using DeepLabCut for 3D markerless pose estimation across species and behaviors
inferredcites →https://doi.org/10.1038/s41598-020-61410-7openalex-snapshot
Individual, but not population asymmetries, are modulated by social environment and genotype in Drosophila melanogaster
inferredcites →https://doi.org/10.1073/pnas.1007868108openalex-snapshot
Emergence of long timescales and stereotyped behaviors in Caenorhabditis elegans
inferredcites →https://doi.org/10.1073/pnas.1211447110openalex-snapshot
A dictionary of behavioral motifs reveals clusters of genes affecting Caenorhabditis elegans locomotion
inferredcites →https://doi.org/10.1073/pnas.1211988109openalex-snapshot
Phototactic personality in fruit flies and its suppression by serotonin and white
inferredcites →https://doi.org/10.1073/pnas.1305552110openalex-snapshot
Context-dependent hierarchies in pigeons
inferredcites →https://doi.org/10.1073/pnas.1420068112openalex-snapshot
Revealing the hidden networks of interaction in mobile animal groups allows prediction of complex behavioral contagion
inferredcites →https://doi.org/10.1073/pnas.1503830112openalex-snapshot
Behavioral idiosyncrasy reveals genetic control of phenotypic variability
inferredcites →https://doi.org/10.1073/pnas.1607601113openalex-snapshot
Predictability and hierarchy in Drosophila behavior
inferredcites →https://doi.org/10.1073/pnas.1813476116openalex-snapshot
Adaptive, locally linear models of complex dynamics
inferredcites →https://doi.org/10.1088/1478-3975/14/1/015002openalex-snapshot
Systematic exploration of unsupervised methods for mapping behavior
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An unsupervised method for quantifying the behavior of paired animals
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Mapping the stereotyped behaviour of freely moving fruit flies
inferredcites →https://doi.org/10.1101/457242openalex-snapshot
On the inference speed and video-compression robustness of DeepLabCut
inferredcites →https://doi.org/10.1101/571232openalex-snapshot
A low-cost, open-source framework for tracking and behavioural analysis of animals in aquatic ecosystems
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2014.471openalex-snapshot
2D Human Pose Estimation: New Benchmark and State of the Art Analysis
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.143openalex-snapshot
Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields
inferredcites →https://doi.org/10.1109/cvpr.2017.195openalex-snapshot
Xception: Deep Learning with Depthwise Separable Convolutions
inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot
Densely Connected Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.351openalex-snapshot
Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors
inferredcites →https://doi.org/10.1109/cvpr.2017.495openalex-snapshot
PoseTrack: Joint Multi-person Pose Estimation and Tracking
inferredcites →https://doi.org/10.1109/cvpr.2017.586openalex-snapshot
3D Menagerie: Modeling the 3D Shape and Pose of Animals
inferredcites →https://doi.org/10.1109/cvpr.2018.00068openalex-snapshot
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
inferredcites →https://doi.org/10.1109/cvpr.2018.00474openalex-snapshot
MobileNetV2: Inverted Residuals and Linear Bottlenecks
inferredcites →https://doi.org/10.1109/cvpr.2018.00542openalex-snapshot
PoseTrack: A Benchmark for Human Pose Estimation and Tracking
inferredcites →https://doi.org/10.1109/cvprw.2017.156openalex-snapshot
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
inferredcites →https://doi.org/10.1109/iccv.2017.137openalex-snapshot
Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation
inferredcites →https://doi.org/10.1109/iccv.2019.00091openalex-snapshot
Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles
inferredcites →https://doi.org/10.1109/iccv.2019.00546openalex-snapshot
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture From Images “In the Wild”
inferredcites →https://doi.org/10.1109/icip.2018.8451114openalex-snapshot
Multi-Scale Supervised Network for Human Pose Estimation
inferredcites →https://doi.org/10.1109/lra.2018.2850224openalex-snapshot
Deep Neural Network-Based Cooperative Visual Tracking Through Multiple Micro Aerial Vehicles
inferredcites →https://doi.org/10.1109/tpami.2016.2572683openalex-snapshot
Fully Convolutional Networks for Semantic Segmentation
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/tpami.2016.2644615openalex-snapshot
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
inferredcites →https://doi.org/10.1126/science.1258096openalex-snapshot
The new frontier of genome engineering with CRISPR-Cas9
inferredcites →https://doi.org/10.1126/science.344.6183.459openalex-snapshot
Drones Flying High as New Tool for Field Biologists
inferredcites →https://doi.org/10.1126/science.aaa2478openalex-snapshot
Terrestrial animal tracking as an eye on life and planet
inferredcites →https://doi.org/10.1126/science.aaa5099openalex-snapshot
Shared decision-making drives collective movement in wild baboons
inferredcites →https://doi.org/10.1126/science.aap7781openalex-snapshot
From local collective behavior to global migratory patterns in white storks
inferredcites →https://doi.org/10.1137/0105003openalex-snapshot
Algorithms for the Assignment and Transportation Problems
inferredcites →https://doi.org/10.1186/s12915-018-0494-7openalex-snapshot
Measuring behavior across scales
inferredcites →https://doi.org/10.1214/aoms/1177729392openalex-snapshot
Stochastic Estimation of the Maximum of a Regression Function
inferredcites →https://doi.org/10.1214/aoms/1177729586openalex-snapshot
A Stochastic Approximation Method
inferredcites →https://doi.org/10.1242/jeb.202234openalex-snapshot
The effect of environmental enrichment on behavioral variability depends on genotype, behavior, and type of enrichment
inferredcites →https://doi.org/10.1364/ol.33.000156openalex-snapshot
Efficient subpixel image registration algorithms
inferredcites →https://doi.org/10.1371/journal.pcbi.1008230openalex-snapshot
Paired fruit flies synchronize behavior: Uncovering social interactions in Drosophila melanogaster
inferredcites →https://doi.org/10.1371/journal.pone.0136487openalex-snapshot
BEEtag: A Low-Cost, Image-Based Tracking System for the Study of Animal Behavior and Locomotion
inferredcites →https://doi.org/10.1371/journal.pone.0173433openalex-snapshot
FlyLimbTracker: An active contour based approach for leg segment tracking in unmarked, freely behaving Drosophila
inferredcites →https://doi.org/10.1371/journal.pone.0224243openalex-snapshot
MARGO (Massively Automated Real-time GUI for Object-tracking), a platform for high-throughput ethology
inferredcites →https://doi.org/10.18637/jss.v076.i01openalex-snapshot
Stan : A Probabilistic Programming Language
inferredcites →https://doi.org/10.3156/jsoft.29.5_177_2openalex-snapshot
GAN(Generative Adversarial Nets)
inferredcites →https://doi.org/10.3389/frobt.2018.00035openalex-snapshot
Tracking All Members of a Honey Bee Colony Over Their Lifetime Using Learned Models of Correspondence
inferredcites →https://doi.org/10.3929/ethz-b-000461393openalex-snapshot
Visualizing the Loss Landscape of Neural Nets
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The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1503.03167openalex-snapshot
Deep Convolutional Inverse Graphics Network
inferredcites →https://doi.org/10.48550/arxiv.1603.06277openalex-snapshot
Composing graphical models with neural networks for structured representations and fast inference
inferredcites →https://doi.org/10.48550/arxiv.1606.05328openalex-snapshot
Conditional Image Generation with PixelCNN Decoders
inferredcites →https://doi.org/10.48550/arxiv.1703.04977openalex-snapshot
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
inferredcites →https://doi.org/10.48550/arxiv.1706.02515openalex-snapshot
Self-Normalizing Neural Networks
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Automatic localization and decoding of honeybee markers using deep convolutional neural networks
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Building Efficient ConvNets using Redundant Feature Pruning
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Simple, Distributed, and Accelerated Probabilistic Programming
inferredcites →https://doi.org/10.48550/arxiv.1907.10226openalex-snapshot
Movement science needs different pose tracking algorithms
inferredcites →https://doi.org/10.5281/zenodo.1008969openalex-snapshot
pinpoint: behavioral tracking using 2D barcode tags v0.0.1-alpha
inferredcites →https://doi.org/10.5281/zenodo.3366907openalex-snapshot
Example Datasets for DeepPoseKit
inferredcites →https://doi.org/10.7554/elife.00231openalex-snapshot
Quantification of gait parameters in freely walking wild type and sensory deprived Drosophila melanogaster
inferredcites →https://doi.org/10.7554/elife.19505openalex-snapshot
Habitat and social factors shape individual decisions and emergent group structure during baboon collective movement
inferredcites →https://doi.org/10.7554/elife.34275openalex-snapshot
Optogenetic dissection of descending behavioral control in Drosophila
inferredcites →https://doi.org/10.7554/elife.37166openalex-snapshot
MAPLE (modular automated platform for large-scale experiments), a robot for integrated organism-handling and phenotyping
inferredcites →https://doi.org/10.7554/elife.48571openalex-snapshot
DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Automated body length and body condition measurements of whales from drone videos for rapid assessment of population health
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Low Cost 3D Motion Capture of Rapid Maneuvers Using a Single High Speed Camera
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BOVIDS: A deep learning‐based software package for pose estimation to evaluate nightly behavior and its application to common elands (Tragelaphus oryx) in zoos
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Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
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3D Bird Reconstruction: A Dataset, Model, and Shape Recovery from a Single View
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Heatmap Regression for Lesion Detection Using Pointwise Annotations
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KITPose: Keypoint-Interactive Transformer for Animal Pose Estimation
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Caged Monkey Dataset: A New Benchmark for Caged Monkey Pose Estimation
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X-Pose: Detecting Any Keypoints
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Self-supervised Segmentation to Pose Estimation Model for Mechanical Systems with Complex Kinematics
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Quantitative Analysis
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Rage Against the Machine: Advancing the study of aggression ethology via machine learning.
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A perspective on neuroethology: what the past teaches us about the future of neuroethology
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An Outlook for Deep Learning in Ecosystem Science
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KA-AttLSTMnet: a Kolmogorov-Arnold attentional architecture for egocentric navigation prediction from hippocampal CA1 spikes
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SyDog-Video: A Synthetic Dog Video Dataset for Temporal Pose Estimation
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Automated Detection of Cat Facial Landmarks
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3D-MuPPET: 3D Multi-Pigeon Pose Estimation and Tracking
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Open-Vocabulary Animal Keypoint Detection with Semantic-Feature Matching
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Animal-CLIP: A Dual-Prompt Enhanced Vision-Language Model for Animal Action Recognition
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BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos
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Supervised Neural Style Transfer as an Augmentation Technique for Facial Landmark Detection
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Application of deep learning for multi-scale behavioral analysis in SNCA E46K Parkinson’s disease drosophila
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Smoothness-based consistency learning for macaque pose estimation
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Gait Characteristics and Adaptation Strategies of Ants with Missing Legs
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A simple tool for linking photo-identification with multimedia data to track mammal behaviour
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Assessing neophobia and exploration while accounting for social context: an example application in scimitar-horned oryx
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Past, present, and future trends in octopus research
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XAI in human motion recognition and analysis for envisioning society: A systematic review
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Gaze and behavior tracking in animal research: Granularity, automation, and technological choice
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Assessing negative affect in mice during abstinence from alcohol drinking: Limitations and future challenges
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Automating the analysis of fish grazing behaviour from videos using image classification and optical flow
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Advancing animal behaviour research using drone technology
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3D behavior phenotyping and multi-object tracking system of mice based on deep learning
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Pose estimation in pigs: Comparative analysis of keypoint configurations and neural network architectures
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Automatic lameness scoring of dairy cows based on the analysis of head- and back-hoof linkage features using machine learning methods
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A deep learning framework for real-time prediction of the behavioral state transition during predation
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Interpreting neural and behavioral data using Hidden Markov Models
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Combining dual-view fusion pose estimation and multi-type motion feature extraction to assess arthritis pain in mice
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Barcoding of episodic memories in the hippocampus of a food-caching bird
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Anipose: A toolkit for robust markerless 3D pose estimation
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Hierarchical behavioral analysis framework as a platform for standardized quantitative identification of behaviors
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How technology can advance the study of animal cognition in the wild
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Recent approaches to study the neural bases of complex insect behavior
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Pose estimation and behavior classification of broiler chickens based on deep neural networks
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T-LEAP: Occlusion-robust pose estimation of walking cows using temporal information
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AnimalAccML: An open-source graphical user interface for automated behavior analytics of individual animals using triaxial accelerometers and machine learning
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GANPose: Pose estimation of grouped pigs using a generative adversarial network
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GRMPose: GCN-based real-time dairy goat pose estimation
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Performance evaluation of a state-of-the-art keypoint detection method for precision livestock farming
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Fish body midline segmentation using binary search
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Automated insect behavioral phenotyping with computer vision and deep learning: Current knowledge and future directions
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CFFPose: a cow fine-grained feature keypoint detection model that integrates context awareness and background noise suppression
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ContrastivePose: A contrastive learning approach for self-supervised feature engineering for pose estimation and behavorial classification of interacting animals
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Deep learning tools for the measurement of animal behavior in neuroscience
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Parenting — a paradigm for investigating the neural circuit basis of behavior
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Body language signals for rodent social communication
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Measuring and modeling the motor system with machine learning
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Toward the explainability, transparency, and universality of machine learning for behavioral classification in neuroscience
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The what, how, and why of naturalistic behavior
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Next generation behavioral sequencing for advancing pain quantification
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LabGym: Quantification of user-defined animal behaviors using learning-based holistic assessment
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Reproducible and fully automated testing of nocifensive behavior in mice
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An integrative assay for measuring social aversion and motivation in freely behaving mice
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DeepFaceMouse enables scalable prediction of large-scale brain activity from facial dynamics in mice
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Probabilistic Models of Larval Zebrafish Behavior Reveal Structure on Many Scales
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A High-Dimensional Quantification of Mouse Defensive Behaviors Reveals Enhanced Diversity and Stimulus Specificity
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Deciphering social traits and pathophysiological conditions from natural behaviors in common marmosets
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Velocity as an overlooked driver in the echolocation behavior of aerial hawking vespertilionid bats
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Direct cerebellar control over motor production in a species with extreme cerebellar enlargement
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Opponent ventrolateral striatal circuits regulate behavioral flexibility and rigidity
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Animal pose estimation: A closer look at the state-of-the-art, existing gaps and opportunities
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Motion parameters measurement of user-defined key points using 3D pose estimation
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Cross-species animal pose estimation via feature map orthogonal decomposition decoder
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Animal behavior analysis methods using deep learning: A survey
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Automation of training and testing motor and related tasks in pre-clinical behavioural and rehabilitative neuroscience
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Multimodal fusion for precision livestock behavior monitoring: A systematic review of deep learning, pose estimation, and sensor integration strategies
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Automatic Classification of Cichlid Behaviors Using 3D Convolutional Residual Networks
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Left-right asymmetry and attractor-like dynamics of dog’s tail wagging during dog-human interactions
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Learning algorithms estimate pose and detect motor anomalies in flies exposed to minimal doses of a toxicant
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STPoseNet: A real-time spatiotemporal network model for robust mouse pose estimation
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Embodied postural dynamics underlie behavioral diversity in a benthic sessile chordate
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Using deep neural networks for kinematic analysis: Challenges and opportunities
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Toxicological assessment of agrochemicals on bees using machine learning tools
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Multi-scale keypoints detection and motion features extraction in dairy cows using ResNet101-ASPP network
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Towards image-based animal tracking in natural environments using a freely moving camera
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Challenges of a small world analysis for the continuous monitoring of behavior in mice
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Advancing social behavioral neuroscience by integrating ethology and comparative psychology methods through machine learning
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Long-term deep phenotyping of behavioral traits in mice using homecage monitoring
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AI-based mouse behavior analysis in pathology: A focus on movement disorders
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From eye to AI: Studying rodent social behavior in the era of machine learning
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Advances in intelligent animal pose tracking for neuro-behavioral integration
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Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research
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AnimalRTPose: Faster cross-species real-time animal pose estimation
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Computational Neuroethology: A Call to Action
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A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and Perspectives
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Expanding evolutionary neuroscience: insights from comparing variation in behavior
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Promises and challenges of human computational ethology
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3D pose estimation enables virtual head fixation in freely moving rats
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The emergence and influence of internal states
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Neuroscience Cloud Analysis As a Service: An open-source platform for scalable, reproducible data analysis
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Move Over Rotarod, Here Comes RotaWheel
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Translational models of stress and resilience: An applied neuroscience methodology review
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Geometric self-supervision for monocular 3D animal pose estimation
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Decontextualized learning for interpretable hierarchical representations of visual patterns
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Animal behavior and animal personality from a non-human perspective: Getting help from the machine
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Modelling behaviors relevant to brain disorders in the nonhuman primate: Are we there yet?
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Movement-Related Signals in Sensory Areas: Roles in Natural Behavior
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Assessment during Intergroup Contests
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Viewing animal migration through a social lens
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Emerging technologies for behavioral research in changing environments
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The Internet of Animals: what it is, what it could be
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Deep learning powers a motion-tracking revolution
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Big behavior: challenges and opportunities in a new era of deep behavior profiling
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Deep learning-based behavioral analysis reaches human accuracy and is capable of outperforming commercial solutions
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Neural circuits regulating prosocial behaviors
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Automated markerless pose estimation in freely moving macaques with OpenMonkeyStudio
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Vortex phase matching as a strategy for schooling in robots and in fish
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Markerless tracking of an entire honey bee colony
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A hierarchical 3D-motion learning framework for animal spontaneous behavior mapping
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Precise visuomotor transformations underlying collective behavior in larval zebrafish
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Perspectives in machine learning for wildlife conservation
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Automatic mapping of multiplexed social receptive fields by deep learning and GPU-accelerated 3D videography
inferred← citeshttps://doi.org/10.1038/s41467-023-41565-3openalex-snapshot
Large-scale capture of hidden fluorescent labels for training generalizable markerless motion capture models
inferred← citeshttps://doi.org/10.1038/s41467-023-42898-9openalex-snapshot
replicAnt: a pipeline for generating annotated images of animals in complex environments using Unreal Engine
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SuperAnimal pretrained pose estimation models for behavioral analysis
inferred← citeshttps://doi.org/10.1038/s41467-025-64907-9openalex-snapshot
A neural circuit for context-dependent multimodal signaling in Drosophila
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Sex-specific behavioral feedback modulates sensorimotor processing and drives flexible social behavior
inferred← citeshttps://doi.org/10.1038/s41531-024-00742-xopenalex-snapshot
Interpretable video-based tracking and quantification of parkinsonism clinical motor states
inferred← citeshttps://doi.org/10.1038/s41531-025-01252-0openalex-snapshot
Video-based machine learning models for predicting deep brain stimulation outcomes in Parkinson’s disease patients
inferred← citeshttps://doi.org/10.1038/s41567-020-01036-8openalex-snapshot
Capturing the continuous complexity of behaviour in Caenorhabditis elegans
inferred← citeshttps://doi.org/10.1038/s41583-021-00528-7openalex-snapshot
The neural mechanisms of manual dexterity
inferred← citeshttps://doi.org/10.1038/s41583-024-00858-2openalex-snapshot
How can ethology inform the neuroscience of fear, aggression and dominance?
inferred← citeshttps://doi.org/10.1038/s41592-021-01106-6openalex-snapshot
Geometric deep learning enables 3D kinematic profiling across species and environments
inferred← citeshttps://doi.org/10.1038/s41592-021-01110-wopenalex-snapshot
The DANNCE of the rats: a new toolkit for 3D tracking of animal behavior
inferred← citeshttps://doi.org/10.1038/s41592-021-01226-zopenalex-snapshot
LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals
inferred← citeshttps://doi.org/10.1038/s41592-022-01426-1openalex-snapshot
SLEAP: A deep learning system for multi-animal pose tracking
inferred← citeshttps://doi.org/10.1038/s41592-022-01443-0openalex-snapshot
Multi-animal pose estimation, identification and tracking with DeepLabCut
inferred← citeshttps://doi.org/10.1038/s41592-022-01452-zopenalex-snapshot
Tracking together: estimating social poses
inferred← citeshttps://doi.org/10.1038/s41592-022-01634-9openalex-snapshot
Estimation of skeletal kinematics in freely moving rodents
inferred← citeshttps://doi.org/10.1038/s41592-024-02200-1openalex-snapshot
A-SOiD, an active-learning platform for expert-guided, data-efficient discovery of behavior
inferred← citeshttps://doi.org/10.1038/s41592-024-02318-2openalex-snapshot
Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics
inferred← citeshttps://doi.org/10.1038/s41592-024-02319-1openalex-snapshot
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools
inferred← citeshttps://doi.org/10.1038/s41592-025-02653-yopenalex-snapshot
Computer vision for primate behavior analysis in the wild
inferred← citeshttps://doi.org/10.1038/s41592-025-02893-yopenalex-snapshot
Deep Imputation for Skeleton data (DISK) for behavioral science
inferred← citeshttps://doi.org/10.1038/s41592-026-03051-8openalex-snapshot
Unsupervised transfer learning enables multi-animal tracking without training annotation
inferred← citeshttps://doi.org/10.1038/s41593-020-00706-3openalex-snapshot
Revealing the structure of pharmacobehavioral space through motion sequencing
inferred← citeshttps://doi.org/10.1038/s41593-020-00734-zopenalex-snapshot
Quantifying behavior to understand the brain
inferred← citeshttps://doi.org/10.1038/s41593-023-01490-6openalex-snapshot
Facemap: a framework for modeling neural activity based on orofacial tracking
inferred← citeshttps://doi.org/10.1038/s41593-024-01649-9openalex-snapshot
Simple Behavioral Analysis (SimBA) as a platform for explainable machine learning in behavioral neuroscience
inferred← citeshttps://doi.org/10.1038/s41593-026-02262-8openalex-snapshot
Cheese3D enables sensitive detection and analysis of whole-face movement in mice
inferred← citeshttps://doi.org/10.1038/s41596-024-01015-wopenalex-snapshot
Characterizing the structure of mouse behavior using Motion Sequencing
inferred← citeshttps://doi.org/10.1038/s41597-025-05482-yopenalex-snapshot
Multimodal dataset linking wide‐field calcium imaging to behavior changes in operant lever‐pull task in mice
inferred← citeshttps://doi.org/10.1038/s41598-022-25087-4openalex-snapshot
Three-dimensional unsupervised probabilistic pose reconstruction (3D-UPPER) for freely moving animals
inferred← citeshttps://doi.org/10.1038/s41598-022-26825-4openalex-snapshot
Automated monitoring of honey bees with barcodes and artificial intelligence reveals two distinct social networks from a single affiliative behavior
inferred← citeshttps://doi.org/10.1038/s41598-023-31094-wopenalex-snapshot
EXPLORE: a novel deep learning-based analysis method for exploration behaviour in object recognition tests
inferred← citeshttps://doi.org/10.1038/s41598-023-40738-wopenalex-snapshot
3D mouse pose from single-view video and a new dataset
inferred← citeshttps://doi.org/10.1038/s41598-024-62151-7openalex-snapshot
Deep learning pose detection model for sow locomotion
inferred← citeshttps://doi.org/10.1038/s41598-024-71931-0openalex-snapshot
Linking cognitive strategy, neural mechanism, and movement statistics in group foraging behaviors
inferred← citeshttps://doi.org/10.1038/s41598-024-72367-2openalex-snapshot
DAMM for the detection and tracking of multiple animals within complex social and environmental settings
inferred← citeshttps://doi.org/10.1038/s41598-024-72437-5openalex-snapshot
Long-term tracking of social structure in groups of rats
inferred← citeshttps://doi.org/10.1038/s41598-025-01244-3openalex-snapshot
Automatic quantification of disgust reactions in mice using machine learning
inferred← citeshttps://doi.org/10.1038/s41598-025-07040-3openalex-snapshot
Dog facial landmarks detection and its applications for facial analysis
inferred← citeshttps://doi.org/10.1038/s41598-025-14693-7openalex-snapshot
RpiBeh offers a versatile open source solution for rodent behavior tracking and closed loop interventions
inferred← citeshttps://doi.org/10.1038/s41598-025-96634-yopenalex-snapshot
A segment-based framework for explainability in animal affective computing
inferred← citeshttps://doi.org/10.1038/s41598-026-56200-6openalex-snapshot
Semi-automated detection of cleaning interactions using supervised machine learning
inferred← citeshttps://doi.org/10.1038/s41684-021-00794-zopenalex-snapshot
There is no mouse: using a virtual mouse to generate training data for video-based pose estimation
inferred← citeshttps://doi.org/10.1038/s41684-021-00811-1openalex-snapshot
A review of 28 free animal-tracking software applications: current features and limitations
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