Browse > Computer Vision > Pose Estimation > Keypoint Detection

Keypoint Detection

29 papers with code · Computer Vision
Subtask of Pose Estimation

Keypoint detection involves simultaneously detecting people and localizing their keypoints. Keypoints are the same thing as interest points. They are spatial locations, or points in the image that define what is interesting or what stand out in the image. They are invariant to image rotation, shrinkage, translation, distortion, and so on.

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Greatest papers with code

Mask R-CNN

ICCV 2017 tensorflow/models

Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance.

 SOTA for Instance Segmentation on Cityscapes test (using extra training data)

HUMAN PART SEGMENTATION INSTANCE SEGMENTATION KEYPOINT DETECTION MULTI-HUMAN PARSING NUCLEAR SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

Data Distillation: Towards Omni-Supervised Learning

CVPR 2018 facebookresearch/detectron

We investigate omni-supervised learning, a special regime of semi-supervised learning in which the learner exploits all available labeled data plus internet-scale sources of unlabeled data.

KEYPOINT DETECTION OBJECT DETECTION

Non-local Neural Networks

CVPR 2018 facebookresearch/detectron

Both convolutional and recurrent operations are building blocks that process one local neighborhood at a time.

INSTANCE SEGMENTATION KEYPOINT DETECTION OBJECT DETECTION VIDEO CLASSIFICATION

OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

18 Dec 2018CMU-Perceptual-Computing-Lab/openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

KEYPOINT DETECTION

Objects as Points

16 Apr 2019xingyizhou/CenterNet

We model an object as a single point --- the center point of its bounding box.

KEYPOINT DETECTION REAL-TIME OBJECT DETECTION

Deep High-Resolution Representation Learning for Human Pose Estimation

CVPR 2019 leoxiaobin/deep-high-resolution-net.pytorch

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.

#2 best model for Pose Estimation on COCO (using extra training data)

INSTANCE SEGMENTATION KEYPOINT DETECTION MULTI-PERSON POSE ESTIMATION OBJECT DETECTION POSE TRACKING REPRESENTATION LEARNING

Simple Baselines for Human Pose Estimation and Tracking

ECCV 2018 Microsoft/human-pose-estimation.pytorch

There has been significant progress on pose estimation and increasing interests on pose tracking in recent years.

 SOTA for Pose Tracking on PoseTrack2018 (using extra training data)

KEYPOINT DETECTION POSE TRACKING

Cascaded Pyramid Network for Multi-Person Pose Estimation

CVPR 2018 chenyilun95/tf-cpn

In this paper, we present a novel network structure called Cascaded Pyramid Network (CPN) which targets to relieve the problem from these "hard" keypoints.

KEYPOINT DETECTION MULTI-PERSON POSE ESTIMATION