Keypoint Estimation
33 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Keypoint Estimation
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Libraries
Use these libraries to find Keypoint Estimation models and implementations
GRIT
Most implemented papers
Detect-and-Track: Efficient Pose Estimation in Videos
facebookresearch/DetectAndTrack
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CVPR 2018
This paper addresses the problem of estimating and tracking human body keypoints in complex, multi-person video.
Learning to Predict Robot Keypoints Using Artificially Generated Images
This work considers robot keypoint estimation on color images as a supervised machine learning task.
KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects
google-research/google-research
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CVPR 2020
We address two problems: first, we establish an easy method for capturing and labeling 3D keypoints on desktop objects with an RGB camera; and second, we develop a deep neural network, called $KeyPose$, that learns to accurately predict object poses using 3D keypoints, from stereo input, and works even for transparent objects.
Joint Viewpoint and Keypoint Estimation with Real and Synthetic Data
The estimation of viewpoints and keypoints effectively enhance object detection methods by extracting valuable traits of the object instances.
Perception for Autonomous Systems (PAZ)
oarriaga/paz
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In this paper we introduce the Perception for Autonomous Systems (PAZ) software library.
The Lottery Ticket Hypothesis for Object Recognition
Sharath-girish/LTH-ObjectRecognition
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CVPR 2021
The recently proposed Lottery Ticket Hypothesis (LTH) states that deep neural networks trained on large datasets contain smaller subnetworks that achieve on par performance as the dense networks.
Arbitrary-Oriented Ship Detection through Center-Head Point Extraction
zf020114/CHPDet
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Moreover, we introduce a new dataset for multi-class arbitrary-oriented ship detection in remote sensing images at a fixed ground sample distance (GSD) which is named FGSD2021.
[Re] On end-to-end 6{DoF} object pose estimation and robustness to object scale
We communicated with the authors of [1] through GitHub, and we would like to thank them as they provided a fast and detailed response.
Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas
In this work we show how to estimate full room layouts in a single-shot, eliminating the need for postprocessing.
Scale-aware Automatic Augmentation for Object Detection
Jia-Research-Lab/SA-AutoAug
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CVPR 2021
We propose Scale-aware AutoAug to learn data augmentation policies for object detection.
