Browse > Computer Vision > Pose Estimation > Keypoint Detection

Keypoint Detection

35 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.

( Image credit: PifPaf: Composite Fields for Human Pose Estimation; "Learning to surf" by fotologic, license: CC-BY-2.0 )

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Latest papers with code

Towards High Performance Human Keypoint Detection

3 Feb 2020chaimi2013/CCM

Human keypoint detection from a single image is very challenging due to occlusion, blur, illumination and scale variance.

HUMAN DETECTION KEYPOINT DETECTION

9
03 Feb 2020

Neural Outlier Rejection for Self-Supervised Keypoint Learning

23 Dec 2019TRI-ML/KP2D

By making the sampling of inlier-outlier sets from point-pair correspondences fully differentiable within the keypoint learning framework, we show that are able to simultaneously self-supervise keypoint description and improve keypoint matching.

HOMOGRAPHY ESTIMATION KEYPOINT DETECTION VISUAL ODOMETRY

13
23 Dec 2019

Self-Supervised 3D Keypoint Learning for Ego-motion Estimation

7 Dec 2019TRI-ML/KP3D

Generating reliable illumination and viewpoint invariant keypoints is critical for feature-based SLAM and SfM.

KEYPOINT DETECTION MOTION ESTIMATION VISUAL ODOMETRY

74
07 Dec 2019

R2D2: Reliable and Repeatable Detector and Descriptor

NeurIPS 2019 naver/r2d2

We thus propose to jointly learn keypoint detection and description together with a predictor of the local descriptor discriminativeness.

ATARI GAMES INTEREST POINT DETECTION KEYPOINT DETECTION METRIC LEARNING

78
01 Dec 2019

Human Keypoint Detection by Progressive Context Refinement

27 Oct 2019zccyman/pose_estimation

Human keypoint detection from a single image is very challenging due to occlusion, blur, illumination and scale variance of person instances.

HUMAN DETECTION KEYPOINT DETECTION MULTI-TASK LEARNING

0
27 Oct 2019

Distribution-Aware Coordinate Representation for Human Pose Estimation

14 Oct 2019ilovepose/DarkPose

Interestingly, we found that the process of decoding the predicted heatmaps into the final joint coordinates in the original image space is surprisingly significant for human pose estimation performance, which nevertheless was not recognised before.

 SOTA for Pose Estimation on COCO (using extra training data)

KEYPOINT DETECTION MULTI-PERSON POSE ESTIMATION

78
14 Oct 2019

Pose Neural Fabrics Search

16 Sep 2019yangsenius/PoseNFS

Neural Architecture Search (NAS) technologies have been successfully performed for efficient neural architectures for tasks such as image classification and semantic segmentation.

IMAGE CLASSIFICATION KEYPOINT DETECTION NEURAL ARCHITECTURE SEARCH SEMANTIC SEGMENTATION

34
16 Sep 2019

GLAMpoints: Greedily Learned Accurate Match points

ICCV 2019 DagnyT/GLAMpoints-PyTorch

We introduce a novel CNN-based feature point detector - GLAMpoints - learned in a semi-supervised manner.

KEYPOINT DETECTION

20
19 Aug 2019

RF-Net: An End-to-End Image Matching Network based on Receptive Field

CVPR 2019 Xylon-Sean/rfnet

This paper proposes a new end-to-end trainable matching network based on receptive field, RF-Net, to compute sparse correspondence between images.

KEYPOINT DETECTION

42
03 Jun 2019

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

3,406
16 Apr 2019