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
Prior-Aware Synthetic Data to the Rescue: Animal Pose Estimation with Very Limited Real DataCode0
CLAMP: Prompt-based Contrastive Learning for Connecting Language and Animal PoseCode1
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and TrackingCode1
Animal Kingdom: A Large and Diverse Dataset for Animal Behavior UnderstandingCode1
SemiMultiPose: A Semi-supervised Multi-animal Pose Estimation Framework0
Multi-animal pose estimation, identification and tracking with DeepLabCutCode1
A Unified Framework for Domain Adaptive Pose EstimationCode1
SuperAnimal pretrained pose estimation models for behavioral analysisCode5
Pose Recognition in the Wild: Animal pose estimation using Agglomerative Clustering and Contrastive Learning0
Incremental Learning for Animal Pose Estimation using RBF k-DPP0
AP-10K: A Benchmark for Animal Pose Estimation in the WildCode1
SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation0
T-LEAP: Occlusion-robust pose estimation of walking cows using temporal informationCode1
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose EstimationCode1
AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the WildCode1
Structured Context Enhancement Network for Mouse Pose EstimationCode0
Continuous Surface EmbeddingsCode1
ImageNet performance correlates with pose estimation robustness and generalization on out-of-domain dataCode0
WormPose: Image synthesis and convolutional networks for pose estimation in C. elegansCode1
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
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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