2D Pose Estimation
45 papers with code • 9 benchmarks • 14 datasets
detective pose
Benchmarks
These leaderboards are used to track progress in 2D Pose Estimation
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Libraries
Use these libraries to find 2D Pose Estimation models and implementationsDatasets
Human3.6M
300W
Animal Kingdom
MP-100
HARPER
3D-POP
SLAM2REF
SuperAnimal-TopViewMouse
iRodent
ConSLAM
Most implemented papers
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
ZheC/Realtime_Multi-Person_Pose_Estimation
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CVPR 2017
We present an approach to efficiently detect the 2D pose of multiple people in an image.
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
CMU-Perceptual-Computing-Lab/openpose
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OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Deep High-Resolution Representation Learning for Human Pose Estimation
leoxiaobin/deep-high-resolution-net.pytorch
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CVPR 2019
We start from a high-resolution subnetwork as the first stage, gradually add high-to-low resolution subnetworks one by one to form more stages, and connect the mutli-resolution subnetworks in parallel.
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Foundation models, now powering most of the exciting applications in deep learning, are almost universally based on the Transformer architecture and its core attention module.
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach
xingyizhou/pose-hg-3d
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ICCV 2017
We propose a weakly-supervised transfer learning method that uses mixed 2D and 3D labels in a unified deep neutral network that presents two-stage cascaded structure.
Polarized Self-Attention: Towards High-quality Pixel-wise Regression
DeLightCMU/PSA
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arXiv preprint 2021
Pixel-wise regression is probably the most common problem in fine-grained computer vision tasks, such as estimating keypoint heatmaps and segmentation masks.
SuperAnimal pretrained pose estimation models for behavioral analysis
We illustrate the utility of our models in behavioral classification in mice and gait analysis in horses.
Learning to Train with Synthetic Humans
DavHoffmann/LearningToTrainWithSyntheticHumans
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Here we explore two variations of synthetic data for this challenging problem; a dataset with purely synthetic humans and a real dataset augmented with synthetic humans.
Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions
ostadabbas/SLP-Dataset-and-Code
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Computer vision (CV) has achieved great success in interpreting semantic meanings from images, yet CV algorithms can be brittle for tasks with adverse vision conditions and the ones suffering from data/label pair limitation.
Rotation Equivariant Siamese Networks for Tracking
We further show that this change in orientation can be used to impose an additional motion constraint in Siamese tracking through imposing restriction on the change in orientation between two consecutive frames.
