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On the inference speed and video-compression robustness of DeepLabCut

https://doi.org/10.1101/457242
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What this work says

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

inferredcites →https://doi.org/10.1002/0470869615openalex-snapshot
H.264 and MPEG‐4 Video Compression
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/10.1016/j.tree.2014.05.004openalex-snapshot
Automated image-based tracking and its application in ecology
inferredcites →https://doi.org/10.1038/nn.3812openalex-snapshot
Big behavioral data: psychology, ethology and the foundations of neuroscience
inferredcites →https://doi.org/10.1038/nn.4502openalex-snapshot
Network neuroscience
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/s41593-018-0209-yopenalex-snapshot
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
inferredcites →https://doi.org/10.1038/s41593-018-0215-0openalex-snapshot
Behavioral tracking gets real
inferredcites →https://doi.org/10.1109/cvpr.2016.533openalex-snapshot
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
inferredcites →https://doi.org/10.1109/mcse.2011.37openalex-snapshot
The NumPy Array: A Structure for Efficient Numerical Computation
inferredcites →https://doi.org/10.1109/pcs.2013.6737766openalex-snapshot
Performance comparison of H.265/MPEG-HEVC, VP9, and H.264/MPEG-AVC encoders
inferredcites →https://doi.org/10.1109/pcs.2018.8456298openalex-snapshot
Generative Compression
inferredcites →https://doi.org/10.1109/tcsvt.2003.815165openalex-snapshot
Overview of the H.264/AVC video coding standard
inferredcites →https://doi.org/10.1126/science.aan8866openalex-snapshot
Big data and the industrialization of neuroscience: A safe roadmap for understanding the brain?
inferredcites →https://doi.org/10.1146/annurev-neuro-070815-013845openalex-snapshot
Computational Analysis of Behavior
inferredcites →https://doi.org/10.1523/jneurosci.3174-17.2018openalex-snapshot
The State of the NIH BRAIN Initiative
inferredcites →https://doi.org/10.3389/fninf.2015.00007openalex-snapshot
Bonsai: an event-based framework for processing and controlling data streams
inferredcites →https://doi.org/10.48550/arxiv.1512.03385openalex-snapshot
Deep Residual Learning for Image Recognition

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s44202-022-00027-5openalex-snapshot
Applications of machine learning to behavioral sciences: focus on categorical data
inferred← citeshttps://doi.org/10.1016/j.anbehav.2025.123085openalex-snapshot
Investigating the use of odour and colour foraging cues by rosy-faced lovebirds using deep-learning based analysis
inferred← citeshttps://doi.org/10.1016/j.compag.2022.106931openalex-snapshot
Pose estimation-based lameness recognition in broiler using CNN-LSTM network
inferred← citeshttps://doi.org/10.1016/j.conb.2019.10.008openalex-snapshot
Deep learning tools for the measurement of animal behavior in neuroscience
inferred← citeshttps://doi.org/10.1016/j.neuron.2020.09.017openalex-snapshot
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and Perspectives
inferred← citeshttps://doi.org/10.1038/s41386-020-0776-yopenalex-snapshot
Deep learning-based behavioral analysis reaches human accuracy and is capable of outperforming commercial solutions
inferred← citeshttps://doi.org/10.1038/s41596-019-0176-0openalex-snapshot
Using DeepLabCut for 3D markerless pose estimation across species and behaviors
inferred← citeshttps://doi.org/10.1038/s42003-021-01654-9openalex-snapshot
DeepLabStream enables closed-loop behavioral experiments using deep learning-based markerless, real-time posture detection
inferred← citeshttps://doi.org/10.1088/1741-2552/ac1ed1openalex-snapshot
Closed-loop automated reaching apparatus (CLARA) for interrogating complex motor behaviors
inferred← citeshttps://doi.org/10.1101/2022.09.23.509166openalex-snapshot
Multimodal system for recording individual-level behaviors in songbird groups
inferred← citeshttps://doi.org/10.1101/2024.02.18.580921openalex-snapshot
Investigating the use of odour and colour foraging cues by rosy-faced lovebirds ( Agapornis roseicollis ) using deep-learning based behavioural analysis
inferred← citeshttps://doi.org/10.1109/wacv45572.2020.9093591openalex-snapshot
Multiview Supervision By Registration
inferred← citeshttps://doi.org/10.1109/wacv48630.2021.00190openalex-snapshot
Pretraining boosts out-of-domain robustness for pose estimation
inferred← citeshttps://doi.org/10.1123/jab.2021-0323openalex-snapshot
Agreement Between Sagittal Foot and Tibia Angles During Running Derived From an Open-Source Markerless Motion Capture Platform and Manual Digitization
inferred← citeshttps://doi.org/10.1123/jmld.2019-0010openalex-snapshot
Automated Measures of Force and Motion Can Improve Our Understanding of Infants’ Motor Persistence
inferred← citeshttps://doi.org/10.1145/3528223.3530086openalex-snapshot
Artemis
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1006699openalex-snapshot
Stytra: An open-source, integrated system for stimulation, tracking and closed-loop behavioral experiments
inferred← citeshttps://doi.org/10.1371/journal.pone.0228059openalex-snapshot
Towards a fully automated surveillance of well-being status in laboratory mice using deep learning: Starting with facial expression analysis
inferred← citeshttps://doi.org/10.1523/eneuro.0090-24.2024openalex-snapshot
Forebrain EAAT3 Overexpression Increases Susceptibility to Amphetamine-Induced Repetitive Behaviors
inferred← citeshttps://doi.org/10.1523/eneuro.0415-20.2021openalex-snapshot
Real-Time Closed-Loop Feedback in Behavioral Time Scales Using DeepLabCut
inferred← citeshttps://doi.org/10.1523/jneurosci.1227-23.2024openalex-snapshot
Movement-Related Modulation in Mouse Auditory Cortex Is Widespread Yet Locally Diverse
inferred← citeshttps://doi.org/10.17762/jaz.v44is6.2333openalex-snapshot
Convolution Neural Network Based Prediction for Eye Gaze Estimation
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3314854/v1openalex-snapshot
Multimodal system for recording individual-level behaviors in songbird groups
inferred← citeshttps://doi.org/10.2197/ipsjtbio.13.7openalex-snapshot
Lightweight Convolutional Neural Network for Image Processing Method for Gaze Estimation and Eye Movement Event Detection
inferred← citeshttps://doi.org/10.3389/fncel.2021.779628openalex-snapshot
EyeLoop: An Open-Source System for High-Speed, Closed-Loop Eye-Tracking
inferred← citeshttps://doi.org/10.3389/fnhum.2022.768575openalex-snapshot
Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders
inferred← citeshttps://doi.org/10.3389/fninf.2021.712623openalex-snapshot
A Validation of Supervised Deep Learning for Gait Analysis in the Cat
inferred← citeshttps://doi.org/10.3390/ani13182859openalex-snapshot
Nociception in Chicken Embryos, Part III: Analysis of Movements before and after Application of a Noxious Stimulus
inferred← citeshttps://doi.org/10.33915/etd.11527openalex-snapshot
Characterizing Locomotor Disturbance Perception in Young Adults
inferred← citeshttps://doi.org/10.7554/elife.47994openalex-snapshot
DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning
inferred← citeshttps://doi.org/10.7554/elife.61909openalex-snapshot
Real-time, low-latency closed-loop feedback using markerless posture tracking
inferred← citeshttps://doi.org/10.7554/elife.63596openalex-snapshot
A rapid whisker-based decision underlying skilled locomotion in mice
inferred← citeshttps://doi.org/10.7717/peerj.20203openalex-snapshot
Multimodal system for recording individual-level behaviors in songbird groups
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