ArticleNature communications2024
SuperAnimal pretrained pose estimation models for behavioral analysis.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.
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Who cites it
44 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Does advancement in marker-less pose-estimation mean more quality research? A systematic review.Frontiers in behavioral neuroscience · 2025Pooled it
- MIMAS: An open-source microlens-array miniature microscope for accessible large-field cortical imaging in freely behaving mice.Science advances · 2026Article
- Rethinking non-human primate models for emerging viral infections after COVID-19.Laboratory animal research · 2026Review
- Brief high-fat diet exposure temporally reshapes affective behavior and prefrontal cortex function.bioRxiv : the preprint server for biology · 2026Article
- Surgical protocol and ischemic duration determine myeloid cell features and locomotor deficits in preclinical transient middle cerebral artery occlusion.Experimental neurology · 2026Article
- DeepLabCut-based automated system reveals diverse temperature tolerance among medaka strains and related Oryzias species.Scientific reports · 2026Article
- Multi-Camera Analysis of Simulated Porcine Recovery States Based on Three-Dimensional Pose Using Synthetic Data.Journal of imaging · 2026Article
- Article
- Artificial Intelligence-Based Decoding of Animal Micro-Expressions: A Review of Methodological Advances and Translational Applications.Animals : an open access journal from MDPI · 2026Review
- Occlusion-Robust Cattle Pose Estimation for Precision Livestock Monitoring Using Hierarchical Locality Refinement.Animals : an open access journal from MDPI · 2026Article
- DeepFaceMouse enables scalable prediction of large-scale brain activity from facial dynamics in mice.Cell reports methods · 2026Article
- Vestibular nucleus stimulation for ameliorating locomotor dynamics in a Parkinsonian mouse model.Nature communications · 2026Article
- Visual uncertainty and task demands shape active sensing strategies in mice.Current biology : CB · 2026Article
- Visual uncertainty and task demands shape active sensing strategies in mice.bioRxiv : the preprint server for biology · 2026Article
- Autism associatedbioRxiv : the preprint server for biology · 2026Article
- Keypoint-Based Forest Musk Deer Behavioral Recognition Method.Animals : an open access journal from MDPI · 2026Article
- NeuroPupil: A generalization-first framework for scalable and biologically informative cross-species pupillometry.bioRxiv : the preprint server for biology · 2026Article
- Unsupervised transfer learning enables multi-animal tracking without training annotation.Nature methods · 2026Article
- Adoption of MMPose, a general purpose pose estimation library, for animal tracking.bioRxiv : the preprint server for biology · 2026Article
- Natural behavior is what you do, not just where you are.Nature neuroscience · 2026Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Quantification of behavior is critical in diverse applications from neuroscience, veterinary medicine to animal conservation. A common key step for behavioral analysis is first extracting relevant keypoints on animals, known as pose estimation. However, reliable inference of poses currently requires domain knowledge and manual labeling effort to build supervised models. We present SuperAnimal, a method to develop unified foundation models that can be used on over 45 species, without additional manual labels. These models show excellent performance across six pose estimation benchmarks. We demonstrate how to fine-tune the models (if needed) on differently labeled data and provide tooling for unsupervised video adaptation to boost performance and decrease jitter across frames. If fine-tuned, SuperAnimal models are 10-100× more data efficient than prior transfer-learning-based approaches. We illustrate the utility of our models in behavioral classification and kinematic analysis. Collectively, we present a data-efficient solution for animal pose estimation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.