SOTAVerified

Animal Pose Estimation

Animal pose estimation is the task of identifying the pose of an animal.

( Image credit: Using DeepLabCut for 3D markerless pose estimation across species and behaviors )

Papers

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Showing 1–10 of 48 papers

TitleStatusHype
MBE-ARI: A Multimodal Dataset Mapping Bi-directional Engagement in Animal-Robot InteractionCode0
Probabilistic Prompt Distribution Learning for Animal Pose EstimationCode1
Consistent multi-animal pose estimation in cattle using dynamic Kalman filter based trackingCode0
Learning Structure-Supporting Dependencies via Keypoint Interactive Transformer for General Mammal Pose EstimationCode1
MamKPD: A Simple Mamba Baseline for Real-Time 2D Keypoint Detection—0
Edge Weight Prediction For Category-Agnostic Pose EstimationCode1
Towards Multi-Modal Animal Pose Estimation: A Survey and In-Depth AnalysisCode1
Unsupervised Prior Learning: Discovering Categorical Pose Priors from Videos—0
Benchmarking Monocular 3D Dog Pose Estimation Using In-The-Wild Motion Capture Data—0
PoseBench: Benchmarking the Robustness of Pose Estimation Models under Corruptions—0
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All datasetsAP-10KHorse-10TriMouse-161Fish-100Marmoset-8KStanfordExtraAnimal3DAnimal-Pose Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepLabCut-EfficientNet-B6PCK@0.3 (OOD)88.4—Unverified
2DeepLabCut-EfficientNet-B4PCK@0.3 (OOD)86.9—Unverified
3DeepLabCut-RESNET-101PCK@0.3 (OOD)84.3—Unverified
4DeepLabCut-RESNET 50PCK@0.3 (OOD)81.3—Unverified
5DeepLabCut-MOBILENETV2-1PCK@0.3 (OOD)77.6—Unverified
6DeepLabCut-MOBILENETV2 0.35PCK@0.3 (OOD)63.5—Unverified
7mmpose HRNet-w32 (w/ImageNet pretrained weights)Normalized Error (OOD)0.18—Unverified
8SuperAnimal-Quadruped HRNet-w32Normalized Error (OOD)0.11—Unverified