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Pose for Everything
Pose for Everything: Towards Category-Agnostic Pose Estimation -
Meta-Point Learning and Refining for Category-Agnostic Pose Estimation
Category-agnostic pose estimation (CAPE) aims to predict keypoints for arbitrary classes given a few support images annotated with keypoints. -
Spacecraft Pose Estimation Dataset (SPEED)
The SPEED dataset is used for training and evaluating spacecraft pose estimation algorithms. -
Physics-aware Simulation for Object Detection and Pose Estimation
This paper proposes a dataset generation pipeline that uses physics simulation to generate images of objects in cluttered scenes. -
NTU-ICG UAV Tracking and Pose Estimation
UAV tracking and pose estimation dataset using LiDAR and camera data -
Hardware-In-the-Loop (HIL) images of SPEED+
The dataset used in this paper for testing the Spacecraft Pose Estimation network trained on the SPEED+ dataset. -
SPEED+ dataset
The dataset used in this paper for training a Spacecraft Pose Estimation network from a sparse set of real images depicting an unknown target spacecraft. -
Leibniz University Hannover
Imported
i.c.sens Stereo Image Vehicle Dataset
The i.c.sens Stereo Image Vehicle Dataset is a dataset for vehicle detection, pose estimation, and reconstruction. It consists of street-level stereo images and delivers...
