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Keypoint Detection

36 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

Multi-Person Pose Estimation with Enhanced Feature Aggregation and Selection

20 Mar 2020

More specifically, a Feature Aggregation and Selection Module (FASM), which constructs hierarchical multi-scale feature aggregation and makes the aggregated features discriminative, is proposed to get more accurate fine-grained representation, leading to more precise joint locations.

KEYPOINT DETECTION MULTI-PERSON POSE ESTIMATION

High Accuracy Face Geometry Capture using a Smartphone Video

19 Mar 2020

What's the most accurate 3D model of your face you can obtain while sitting at your desk?

KEYPOINT DETECTION OBJECT DETECTION

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

SKD: Unsupervised Keypoint Detection for Point Clouds using Saliency Estimation

10 Dec 2019

The approach can be applied to any differentiable deep learning descriptor by using the gradients of that descriptor with respect to the input to estimate an initial set of candidate keypoints.

KEYPOINT DETECTION SALIENCY PREDICTION

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 the 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

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