About

Pose Estimation is a general problem in Computer Vision where we detect the position and orientation of an object.

( Image credit: Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose )

Benchmarks

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Subtasks

Datasets

Latest papers with code

PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation

6 May 2021jfzhang95/PoseAug

To address this problem, we present PoseAug, a new auto-augmentation framework that learns to augment the available training poses towards a greater diversity and thus improve generalization of the trained 2D-to-3D pose estimator.

3D HUMAN POSE ESTIMATION DATA AUGMENTATION

66
06 May 2021

Lifting Monocular Events to 3D Human Poses

21 Apr 2021IIT-PAVIS/lifting_events_to_3d_hpe

Here we propose the first learning-based method for 3D human pose from a single stream of events.

3D HUMAN POSE ESTIMATION 3D POSE ESTIMATION EVENT-BASED VISION

9
21 Apr 2021

NeRD: Neural 3D Reflection Symmetry Detector

19 Apr 2021zhou13/nerd

Recent advances have shown that symmetry, a structural prior that most objects exhibit, can support a variety of single-view 3D understanding tasks.

POSE ESTIMATION

71
19 Apr 2021

A Mathematical Analysis of Learning Loss for Active Learning in Regression

19 Apr 2021meghshukla/math-analysis-learningloss

We show that LearningLoss++ outperforms in identifying scenarios where the model is likely to perform poorly, which on model refinement translates into reliable performance in the open world.

ACTIVE LEARNING POSE ESTIMATION

0
19 Apr 2021

Lite-HRNet: A Lightweight High-Resolution Network

13 Apr 2021HRNet/Lite-HRNet

We introduce a lightweight unit, conditional channel weighting, to replace costly pointwise (1x1) convolutions in shuffle blocks.

POSE ESTIMATION REAL-TIME SEMANTIC SEGMENTATION

294
13 Apr 2021

Location-Sensitive Visual Recognition with Cross-IOU Loss

11 Apr 2021Duankaiwen/LSNet

Object detection, instance segmentation, and pose estimation are popular visual recognition tasks which require localizing the object by internal or boundary landmarks.

2D HUMAN POSE ESTIMATION 2D OBJECT DETECTION INSTANCE SEGMENTATION POSE ESTIMATION SEMANTIC SEGMENTATION

80
11 Apr 2021

Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression

6 Apr 2021HRNet/DEKR

Our motivation is that regressing keypoint positions accurately needs to learn representations that focus on the keypoint regions.

KEYPOINT DETECTION

72
06 Apr 2021

Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo

6 Apr 2021jiahaoLjh/PlaneSweepPose

Existing approaches for multi-view multi-person 3D pose estimation explicitly establish cross-view correspondences to group 2D pose detections from multiple camera views and solve for the 3D pose estimation for each person.

3D POSE ESTIMATION DEPTH ESTIMATION

8
06 Apr 2021