SOTAVerified

2D Human Pose Estimation

What is Human Pose Estimation? Human pose estimation is the process of estimating the configuration of the body (pose) from a single, typically monocular, image. Background. Human pose estimation is one of the key problems in computer vision that has been studied for well over 15 years. The reason for its importance is the abundance of applications that can benefit from such a technology. For example, human pose estimation allows for higher-level reasoning in the context of human-computer interaction and activity recognition; it is also one of the basic building blocks for marker-less motion capture (MoCap) technology. MoCap technology is useful for applications ranging from character animation to clinical analysis of gait pathologies.

Papers

Showing 51–100 of 118 papers

TitleStatusHype
Classroom-Inspired Multi-Mentor Distillation with Adaptive Learning Strategies—0
Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light ConditionsCode0
GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation—0
RTMW: Real-Time Multi-Person 2D and 3D Whole-body Pose Estimation—0
Active Human Pose Estimation via an Autonomous UAV Agent—0
Semi-supervised 2D Human Pose Estimation via Adaptive Keypoint Masking—0
An Animation-based Augmentation Approach for Action Recognition from Discontinuous VideoCode0
Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognition—0
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency TrainingCode0
On the Calibration of Human Pose Estimation—0
UniHPE: Towards Unified Human Pose Estimation via Contrastive Learning—0
Efficient, Self-Supervised Human Pose Estimation with Inductive Prior TuningCode0
Prior-guided Source-free Domain Adaptation for Human Pose Estimation—0
Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation—0
Data-Free Backbone Fine-Tuning for Pruned Neural NetworksCode0
Efficient Vision Transformer for Human Pose Estimation via Patch Selection—0
Human Pose Estimation in Monocular Omnidirectional Top-View Images—0
Distilling Token-Pruned Pose Transformer for 2D Human Pose Estimation—0
RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose—0
Poses of People in Art: A Data Set for Human Pose Estimation in Digital Art History—0
Advanced Baseline for 3D Human Pose Estimation: A Two-Stage Approach—0
2D Human Pose Estimation with Explicit Anatomical Keypoints Structure Constraints—0
Heatmap Distribution Matching for Human Pose Estimation—0
Semi-supervised Human Pose Estimation in Art-historical ImagesCode0
Semi-Perspective Decoupled Heatmaps for 3D Robot Pose Estimation from Depth Maps—0
FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformERCode0
BTranspose: Bottleneck Transformers for Human Pose Estimation with Self-Supervised Pre-Training—0
2D Human Pose Estimation: A Survey—0
Study of Robust Sparsity-Aware RLS algorithms with Jointly-Optimized Parameters for Impulsive Noise Environments—0
Event Neural NetworksCode0
Rethinking Deconvolution for 2D Human Pose Estimation Light yet Accurate Model for Real-time Edge Computing—0
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating roomCode0
Full-Resolution Encoder-Decoder Networks with Multi-Scale Feature Fusion for Human Pose Estimation—0
What is it Like to Be a Bot: Simulated, Situated, Structurally Coherent Qualia (S3Q) Theory of Consciousness—0
On the role of depth predictions for 3D human pose estimation—0
Removing the Bias of Integral Pose Regression—0
Contextual Graph Reasoning Networks—0
Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D Human Pose Estimation—0
Efficient Human Pose Estimation with Depthwise Separable Convolution and Person Centroid Guided Joint Grouping—0
A random-walk based epidemiological model—0
导师评价网数据已在Github备份,可直接检索导师个人信息!Code0
AutoPose: Searching Multi-Scale Branch Aggregation for Pose EstimationCode0
Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation—0
Multi-Person Pose Estimation with Enhanced Feature Aggregation and Selection—0
Optimization of Passive Chip Components Placement with Self-Alignment Effect for Advanced Surface Mounting Technology—0
Second-order Information in First-order Optimization Methods—0
EventGAN: Leveraging Large Scale Image Datasets for Event CamerasCode0
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose EstimationCode0
Dynamic Kernel Distillation for Efficient Pose Estimation in Videos—0
PifPaf: Composite Fields for Human Pose EstimationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RTMW-xWB70.2—Unverified
2PCNetWB66.4—Unverified
3ZoomNAS (V1.0 data)WB65.4—Unverified
4RTMPoseWB65.3—Unverified
5TCFormerWB64.2—Unverified
6ZoomNet (V1.0 data)WB63—Unverified
7Sapiens-0.3BWB62—Unverified
8ViTPose+-HWB61.2—Unverified
9Zauss et al.WB60.4—Unverified
10RTMW-mWB58—Unverified
#ModelMetricClaimedVerifiedStatus
1UniPoseAP0.76—Unverified
2RTMPose-lAP (gt bbox)0.75—Unverified
3ED-Pose (R50)AP0.72—Unverified
4ViTPose-hAP0.47—Unverified
5ViTPose-lAP0.46—Unverified
6HRNet-w48AP0.42—Unverified
7ViTpose-bAP0.41—Unverified
8HRNet-w32AP0.4—Unverified
9ViTPose-sAP0.38—Unverified
10RTMPose-sAP0.31—Unverified
#ModelMetricClaimedVerifiedStatus
1DeciWatchPCK98.8—Unverified
2PoseidonPCK97.3—Unverified
3SimplePosePCK94.4—Unverified
4DKD (ResNet50)PCK94—Unverified
5LSTM PMPCK93.6—Unverified
#ModelMetricClaimedVerifiedStatus
1SEFDTest AP44.1—Unverified
2ResNet-50Test AP30.4—Unverified
3Pose2SegTest AP23.8—Unverified
#ModelMetricClaimedVerifiedStatus
1mitsimpo10-20% Mask PSNR12—Unverified
#ModelMetricClaimedVerifiedStatus
1DA-LLPoseAP5—Unverified
#ModelMetricClaimedVerifiedStatus
1DA-LLPoseAP18.6—Unverified
#ModelMetricClaimedVerifiedStatus
1DA-LLPoseAP35.6—Unverified
#ModelMetricClaimedVerifiedStatus
1DA-LLPoseAP39.1—Unverified
#ModelMetricClaimedVerifiedStatus
1DA-LLPoseAP36.2—Unverified