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 125 of 48 papers

TitleStatusHype
SuperAnimal pretrained pose estimation models for behavioral analysisCode5
ViTPose++: Vision Transformer for Generic Body Pose EstimationCode3
A Graph-Based Approach for Category-Agnostic Pose EstimationCode2
X-Pose: Detecting Any KeypointsCode2
Animal Avatars: Reconstructing Animatable 3D Animals from Casual VideosCode2
Probabilistic Prompt Distribution Learning for Animal Pose EstimationCode1
CLAMP: Prompt-based Contrastive Learning for Connecting Language and Animal PoseCode1
A Unified Framework for Domain Adaptive Pose EstimationCode1
AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the WildCode1
CapeX: Category-Agnostic Pose Estimation from Textual Point ExplanationCode1
3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion captureCode1
WormPose: Image synthesis and convolutional networks for pose estimation in C. elegansCode1
Continuous Surface EmbeddingsCode1
Edge Weight Prediction For Category-Agnostic Pose EstimationCode1
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose EstimationCode1
Animal Kingdom: A Large and Diverse Dataset for Animal Behavior UnderstandingCode1
Learning Structure-Supporting Dependencies via Keypoint Interactive Transformer for General Mammal Pose EstimationCode1
AP-10K: A Benchmark for Animal Pose Estimation in the WildCode1
Towards Multi-Modal Animal Pose Estimation: A Survey and In-Depth AnalysisCode1
T-LEAP: Occlusion-robust pose estimation of walking cows using temporal informationCode1
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and TrackingCode1
Multi-animal pose estimation, identification and tracking with DeepLabCutCode1
APTv2: Benchmarking Animal Pose Estimation and Tracking with a Large-scale Dataset and BeyondCode1
Telling Left from Right: Identifying Geometry-Aware Semantic CorrespondenceCode1
ScarceNet: Animal Pose Estimation with Scarce AnnotationsCode1
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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