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
1BUCTD-preNet-W48 (CID-W32)mAP93.3—Unverified
2CID-W32mAP92.5—Unverified
3BUCTD-CoAM-W48 (DLCRNet)mAP91.6—Unverified
4DLCRNet_ms-graph34mAP89—Unverified