Papers Keypoint Estimation
“Keypoint Estimation” 태그가 달린 논문 71편 · 필터 해제
Learning to Predict Robot Keypoints Using Artificially Generated Images
This work considers robot keypoint estimation on color images as a supervised machine learning task. We propose the use of probabilistically created renderings to overcome the lack of labeled real images. Rather than sam…
BIG-bench Machine LearningKeypoint EstimationObjects as Points
Detection identifies objects as axis-aligned boxes in an image. Most successful object detectors enumerate a nearly exhaustive list of potential object locations and classify each. This is wasteful, inefficient, and requ…
3D Object DetectionKeypoint DetectionKeypoint EstimationObject+3Bottom-up Object Detection by Grouping Extreme and Center Points
With the advent of deep learning, object detection drifted from a bottom-up to a top-down recognition problem. State of the art algorithms enumerate a near-exhaustive list of object locations and classify each into: obje…
Keypoint EstimationObjectobject-detectionObject DetectionAccurate Hand Keypoint Localization on Mobile Devices
We present a novel approach for 2D hand keypoint localization from regular color input. The proposed approach relies on an appropriately designed Convolutional Neural Network (CNN) that computes a set of heatmaps, one pe…
Computational EfficiencyHand Keypoint LocalizationKeypoint EstimationNeural Sign Language Translation based on Human Keypoint Estimation
We propose a sign language translation system based on human keypoint estimation. It is well-known that many problems in the field of computer vision require a massive amount of dataset to train deep neural network model…
Keypoint EstimationSign Language TranslationTranslation3D Interpreter Networks for Viewer-Centered Wireframe Modeling
Understanding 3D object structure from a single image is an important but challenging task in computer vision, mostly due to the lack of 3D object annotations to real images. Previous research tackled this problem by eit…
Image RetrievalKeypoint EstimationObjectRetrievalDetect-and-Track: Efficient Pose Estimation in Videos
This paper addresses the problem of estimating and tracking human body keypoints in complex, multi-person video. We propose an extremely lightweight yet highly effective approach that builds upon the latest advancements …
Human DetectionKeypoint EstimationMulti-Object TrackingObject Tracking+3Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency
In this paper, we introduce a novel unsupervised domain adaptation technique for the task of 3D keypoint prediction from a single depth scan or image. Our key idea is to utilize the fact that predictions from different v…
Domain AdaptationKeypoint EstimationUnsupervised Domain AdaptationMask R-CNN
We present a conceptually simple, flexible, and general framework for object instance segmentation. Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask fo…
3D Instance SegmentationHuman Part SegmentationInstance SegmentationKeypoint Detection+14KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors
Keypoint detection is one of the most important pre-processing steps in tasks such as face modeling, recognition and verification. In this paper, we present an iterative method for Keypoint Estimation and Pose prediction…
Face AlignmentHead Pose EstimationKeypoint DetectionKeypoint Estimation+2Single Image 3D Interpreter Network
Understanding 3D object structure from a single image is an important but difficult task in computer vision, mostly due to the lack of 3D object annotations in real images. Previous work tackles this problem by either so…
Image RetrievalKeypoint EstimationObjectRetrieval