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 2648 of 48 papers

TitleStatusHype
WormPose: Image synthesis and convolutional networks for pose estimation in C. elegansCode1
MBE-ARI: A Multimodal Dataset Mapping Bi-directional Engagement in Animal-Robot InteractionCode0
Consistent multi-animal pose estimation in cattle using dynamic Kalman filter based trackingCode0
MamKPD: A Simple Mamba Baseline for Real-Time 2D Keypoint Detection0
Unsupervised Prior Learning: Discovering Categorical Pose Priors from Videos0
Benchmarking Monocular 3D Dog Pose Estimation Using In-The-Wild Motion Capture Data0
PoseBench: Benchmarking the Robustness of Pose Estimation Models under Corruptions0
CNN Based Flank Predictor for Quadruped Animal Species0
Domain adaptive pose estimation via multi-level alignmentCode0
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape0
Of Mice and Pose: 2D Mouse Pose Estimation from Unlabelled Data and Synthetic Prior0
SPAC-Net: Synthetic Pose-aware Animal ControlNet for Enhanced Pose EstimationCode0
Prior-Aware Synthetic Data to the Rescue: Animal Pose Estimation with Very Limited Real DataCode0
SemiMultiPose: A Semi-supervised Multi-animal Pose Estimation Framework0
Pose Recognition in the Wild: Animal pose estimation using Agglomerative Clustering and Contrastive Learning0
Incremental Learning for Animal Pose Estimation using RBF k-DPP0
SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation0
Structured Context Enhancement Network for Mouse Pose EstimationCode0
ImageNet performance correlates with pose estimation robustness and generalization on out-of-domain dataCode0
Pretraining boosts out-of-domain robustness for pose estimationCode0
Cross-Domain Adaptation for Animal Pose Estimation0
Markerless tracking of user-defined features with deep learningCode0
11K Hands: Gender recognition and biometric identification using a large dataset of hand imagesCode0
Show:102550
← PrevPage 2 of 2Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTPose+-HAP82.4Unverified
2ViTPose+-LAP80.4Unverified
3SuperAnimal-HRNetw32AP80.11Unverified
4UniPoseAP79.2Unverified
5ViTPose+-BAP74.5Unverified
6HRNet-w48AP73.1Unverified
7HRNet-w32AP72.2Unverified
8ViTPose+-S ViT-SAP71.4Unverified
9SimpleBaseline-ResNet50AP68.1Unverified
10zero-shot SuperAnimal-HRNetw32AP68.04Unverified
#ModelMetricClaimedVerifiedStatus
1DeepLabCut-EfficientNet-B6PCK@0.3 (OOD)88.4Unverified
2DeepLabCut-EfficientNet-B4PCK@0.3 (OOD)86.9Unverified
3DeepLabCut-RESNET-101PCK@0.3 (OOD)84.3Unverified
4DeepLabCut-RESNET 50PCK@0.3 (OOD)81.3Unverified
5DeepLabCut-MOBILENETV2-1PCK@0.3 (OOD)77.6Unverified
6DeepLabCut-MOBILENETV2 0.35PCK@0.3 (OOD)63.5Unverified
7mmpose HRNet-w32 (w/ImageNet pretrained weights)Normalized Error (OOD)0.18Unverified
8SuperAnimal-Quadruped HRNet-w32Normalized Error (OOD)0.11Unverified
#ModelMetricClaimedVerifiedStatus
1BUCTD-CoAM-W48 (DLCRNet)mAP99.1Unverified
2SuperAnimal HRNetw32mAP98.55Unverified
3DLCRNetmAP95.8Unverified
4ResNet50_s4graph11mAP93Unverified
5DLCRNet_ms4graph11mAP92Unverified
6CID-W32mAP86.8Unverified
7zero-shot SuperAnimal HRNetw32mAP76.14Unverified
#ModelMetricClaimedVerifiedStatus
1HRNet-W48 + Faster R-CNNmAP89.1Unverified
2BUCTD-preNet-W48 (DLCRNet)mAP88.7Unverified
3BUCTD-preNet-W48 (CID-W32)mAP88Unverified
4DLCRNet_ms4graph9mAP71.6Unverified
#ModelMetricClaimedVerifiedStatus
1BUCTD-preNet-W48 (CID-W32)mAP93.3Unverified
2CID-W32mAP92.5Unverified
3BUCTD-CoAM-W48 (DLCRNet)mAP91.6Unverified
4DLCRNet_ms-graph34mAP89Unverified
#ModelMetricClaimedVerifiedStatus
18 Stacked Hourglass NetworkPCK@0.178.65Unverified
22 Stacked Hourglass NetworkPCK@0.177.19Unverified
3Mask R-CNNPCK@0.150.77Unverified
#ModelMetricClaimedVerifiedStatus
1PAREPA-MPJPE134.8Unverified
#ModelMetricClaimedVerifiedStatus
1SuperAnimal-AnimalTokenPoseAP86Unverified