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Aachen Day-Night
Establishing both accurate and robust correspondences across images is an underpinning step to many computer vision algorithms. -
Visual Localization using Pixloc
The dataset used in the paper is the CMU Extended Seasons dataset, which is used for visual localization. -
Are We Ready for Autonomous Driving? The KITTI Vision Benchmark Suite
The KITTI Visual Odometry benchmark dataset consists of 22 stereo sequences with ground truth trajectories. -
7Scenes and 12Scenes datasets
The 7Scenes and 12Scenes datasets are used for visual localization tasks. -
RobotCar Seasons
RobotCar Seasons dataset is a revision of the Oxford RobotCar dataset, which features both short-term and long-term environment evolutions, and therefore different conditions.... -
RoadMap: A Light-Weight Semantic Map for Visual Localization
A light-weight semantic map for visual localization in autonomous driving tasks. -
Cambridge Landmarks
The Cambridge Landmarks dataset contains 5 different large outdoor scenes of landmarks in the city of Cambridge. -
Office Loop Dataset
The dataset used in the paper is a large-scale challenging scene dataset, which includes outdoor scenes with many plants and texture-less areas. -
Old Town Dataset
The dataset used in the paper is a large-scale challenging scene dataset, which includes outdoor scenes with many plants and texture-less areas. -
A4 Dataset
The dataset used in the paper is a large-scale challenging scene dataset, which includes outdoor scenes with many plants and texture-less areas. -
711 Dataset
The dataset used in the paper is a large-scale challenging scene dataset, which includes outdoor scenes with many plants and texture-less areas. -
Self-Collected Dataset
The dataset used in the paper is a self-collected outdoor dataset, which includes scenes with many plants and texture-less areas. -
4Seasons dataset
The dataset used in the paper is a large-scale challenging scene dataset, which includes outdoor scenes with many plants and texture-less areas.
