Browse > Computer Vision > Pose Estimation > Keypoint Detection

Keypoint Detection

35 papers with code ยท 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 without code

UR2KiD: Unifying Retrieval, Keypoint Detection, and Keypoint Description without Local Correspondence Supervision

20 Jan 2020

In this paper, we explore how three related tasks, namely keypoint detection, description, and image retrieval can be jointly tackled using a single unified framework, which is trained without the need of training data with point to point correspondences.

IMAGE RETRIEVAL KEYPOINT DETECTION

Dynamic Convolution: Attention over Convolution Kernels

7 Dec 2019

Light-weight convolutional neural networks (CNNs) suffer performance degradation as their low computational budgets constrain both the depth (number of convolution layers) and width (number of channels) of CNNs, resulting in limited representation capability.

KEYPOINT DETECTION

Simple and Lightweight Human Pose Estimation

23 Nov 2019

And then, based on the lightweight block, we present a Lightweight Pose Network (LPN) following the architecture design principles of SimpleBaseline.

KEYPOINT DETECTION

PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation

11 Nov 2019

In this work, we present a novel data-driven method for robust 6DoF object pose estimation from a single RGBD image.

6D POSE ESTIMATION KEYPOINT DETECTION

MONET: Multiview Semi-Supervised Keypoint Detection via Epipolar Divergence

ICCV 2019

While multiview geometry can be used to self-supervise the unlabeled data, integrating the geometry into learning a keypoint detector is challenging due to representation mismatch.

KEYPOINT DETECTION

kPAM-SC: Generalizable Manipulation Planning using KeyPoint Affordance and Shape Completion

16 Sep 2019

Using the proposed hybrid object representation, we formulate the manipulation task as a motion planning problem which encodes both the object target configuration and physical feasibility for a category of objects.

KEYPOINT DETECTION MOTION PLANNING

DNANet: De-Normalized Attention Based Multi-Resolution Network for Human Pose Estimation

11 Sep 2019

Recently, multi-resolution networks (such as Hourglass, CPN, HRNet, etc.)

KEYPOINT DETECTION

Computer-Aided Automated Detection of Gene-Controlled Social Actions of Drosophila

11 Sep 2019

Gene expression of social actions in Drosophilae has been attracting wide interest from biologists, medical scientists and psychologists.

ACTION DETECTION DIMENSIONALITY REDUCTION KEYPOINT DETECTION

A Comparison of CNN and Classic Features for Image Retrieval

25 Aug 2019

Many methods use image gradients in different stages of the detection-description pipeline to describe local image structures.

CONTENT-BASED IMAGE RETRIEVAL KEYPOINT DETECTION VIDEO OBJECT TRACKING

Learning Landmarks from Unaligned Data using Image Translation

3 Jul 2019

Furthermore, while CycleGAN uses two cycle consistency constraints, we show that the second one is detrimental in this application and we discard it, significantly simplifying the model.

FACIAL LANDMARK DETECTION KEYPOINT DETECTION MOTION CAPTURE