Car Pose Estimation
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Benchmarks
ApolloCar3D
Most implemented
Convolutional Pose Machines
OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
Edge Weight Prediction For Category-Agnostic Pose Estimation
Keypoint Communities
Papers
Edge Weight Prediction For Category-Agnostic Pose Estimation
Category-Agnostic Pose Estimation (CAPE) localizes keypoints across diverse object categories with a single model, using one or a few annotated support images. Recent works have shown that using a pose graph (i.e., treat…
2D Pose EstimationAnimal Pose EstimationCar Pose EstimationCategory-Agnostic Pose Estimation+3Keypoint Communities
We present a fast bottom-up method that jointly detects over 100 keypoints on humans or objects, also referred to as human/object pose estimation. We model all keypoints belonging to a human or an object -- the pose -- a…
2D Human Pose EstimationCar Pose EstimationKeypoint DetectionObject+1OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
Many image-based perception tasks can be formulated as detecting, associating and tracking semantic keypoints, e.g., human body pose estimation and tracking. In this work, we present a general framework that jointly dete…
Car Pose EstimationKeypoint DetectionMulti-Person Pose EstimationPose Estimation+1Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints
Scene context is a powerful constraint on the geometry of objects within the scene in cases, such as surveillance, where the camera geometry is unknown and image quality may be poor. In this paper, we describe a method f…
3D geometryCar Pose EstimationPose EstimationPart-level Car Parsing and Reconstruction from Single Street View
Part information has been shown to be resistant to occlusions and viewpoint changes, which is beneficial for various vision-related tasks. However, we found very limited work in car pose estimation and reconstruction fro…
Car Pose EstimationDomain AdaptationPose EstimationVehicle Re-IdentificationConvolutional Pose Machines
Pose Machines provide a sequential prediction framework for learning rich implicit spatial models. In this work we show a systematic design for how convolutional networks can be incorporated into the pose machine framewo…
3D Human Pose EstimationCar Pose EstimationClassificationPose Estimation+1