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Keypoint Detection

36 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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Greatest papers with code

Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution

Pattern Recognition Letters 2018 BAILOOL/ANMS-Codes

Keypoint detection usually results in a large number of keypoints which are mostly clustered, redundant, and noisy.

KEYPOINT DETECTION

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

StarMap for Category-Agnostic Keypoint and Viewpoint Estimation

ECCV 2018 YoungXIAO13/PoseFromShape

Existing methods define semantic keypoints separately for each category with a fixed number of semantic labels in fixed indices.

KEYPOINT DETECTION VIEWPOINT ESTIMATION

Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters

1 Apr 2019axelBarroso/Key.Net

We introduce a novel approach for keypoint detection task that combines handcrafted and learned CNN filters within a shallow multi-scale architecture.

KEYPOINT DETECTION

6-DoF Object Pose from Semantic Keypoints

14 Mar 2017geopavlakos/object3d

This paper presents a novel approach to estimating the continuous six degree of freedom (6-DoF) pose (3D translation and rotation) of an object from a single RGB image.

KEYPOINT DETECTION

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

Pose Neural Fabrics Search

16 Sep 2019yangsenius/Pose-Neural-Fabrics-Search

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

Neural Outlier Rejection for Self-Supervised Keypoint Learning

ICLR 2020 TRI-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

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

AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding

17 Nov 2017chingswy/HumanPoseMemo

Significant progress has been achieved in Computer Vision by leveraging large-scale image datasets.

KEYPOINT DETECTION