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

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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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTPose+-HAP82.4—Unverified
2ViTPose+-LAP80.4—Unverified
3SuperAnimal-HRNetw32AP80.11—Unverified
4UniPoseAP79.2—Unverified
5ViTPose+-BAP74.5—Unverified
6HRNet-w48AP73.1—Unverified
7HRNet-w32AP72.2—Unverified
8ViTPose+-S ViT-SAP71.4—Unverified
9SimpleBaseline-ResNet50AP68.1—Unverified
10zero-shot SuperAnimal-HRNetw32AP68.04—Unverified