About

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 without code

MarkerPose: Robust Real-time Planar Target Tracking for Accurate Stereo Pose Estimation

2 May 2021

In this work, we propose MarkerPose, a robust, real-time pose estimation system based on a planar target of three circles and a stereo vision system.

KEYPOINT DETECTION

Unsupervised Visual Attention and Invariance for Reinforcement Learning

7 Apr 2021

Existing methods focus on training an RL policy that is universal to changing visual domains, whereas we focus on extracting visual foreground that is universal, feeding clean invariant vision to the RL policy learner.

DOMAIN GENERALIZATION KEYPOINT DETECTION

End-to-end learning of keypoint detection and matching for relative pose estimation

2 Apr 2021

We demonstrate our method for the task of visual localization of a query image within a database of images with known pose.

CAMERA LOCALIZATION KEYPOINT DETECTION VISUAL LOCALIZATION

Unconstrained Face Recognition using ASURF and Cloud-Forest Classifier optimized with VLAD

2 Apr 2021

The paper posits a computationally-efficient algorithm for multi-class facial image classification in which images are constrained with translation, rotation, scale, color, illumination and affine distortion.

CLASSIFICATION FACE DETECTION FACE RECOGNITION IMAGE CLASSIFICATION KEYPOINT DETECTION QUANTIZATION

3D3L: Deep Learned 3D Keypoint Detection and Description for LiDARs

25 Mar 2021

Furthermore, 3D feature-based registration methods have never quite reached the robustness of 2D methods in visual SLAM.

KEYPOINT DETECTION

Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types

24 Mar 2021

A simple form of transfer learning is common in current state-of-the-art computer vision models, i. e. pre-training a model for image classification on the ILSVRC dataset, and then fine-tune on any target task.

AUTONOMOUS DRIVING DEPTH ESTIMATION IMAGE CLASSIFICATION KEYPOINT DETECTION OBJECT DETECTION SEMANTIC SEGMENTATION TRANSFER LEARNING

End-to-End Trainable Multi-Instance Pose Estimation with Transformers

22 Mar 2021

Inspired by recent work on end-to-end trainable object detection with transformers, we use a transformer encoder-decoder architecture together with a bipartite matching scheme to directly regress the pose of all individuals in a given image.

KEYPOINT DETECTION OBJECT DETECTION

FisheyeSuperPoint: Keypoint Detection and Description Network for Fisheye Images

27 Feb 2021

Keypoint detection and description is a commonly used building block in computer vision systems particularly for robotics and autonomous driving.

AUTONOMOUS DRIVING HOMOGRAPHY ESTIMATION KEYPOINT DETECTION

Semi-supervised Keypoint Localization

ICLR 2021

Keypoint representations are learnt with a semantic keypoint consistency constraint that forces the keypoint detection network to learn similar features for the same keypoint across the dataset.

KEYPOINT DETECTION