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Mapillary Planet-Scale Depth Dataset
Learning-based methods produce remarkable results on single image depth tasks when trained on well-established benchmarks, however, there is a large gap from these benchmarks to real-world performance that is usually obscured by the common practice of fine-tuning on the target dataset.
CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization
Visual localization is the problem of estimating the position and orientation from which a given image (or a sequence of images) is taken in a known scene.
The Mapillary Traffic Sign Dataset for Detection and Classification on a Global Scale
In this paper, we introduce a traffic sign benchmark dataset of 100K street-level images around the world that encapsulates diverse scenes, wide coverage of geographical locations, and varying weather and lighting conditions and covers more than 300 manually annotated traffic sign classes.
Partial Symmetry in Polynomial Systems and its Applications in Computer Vision
Algorithms for solving systems of polynomial equations are key components for solving geometry problems in computer vision.
Minimal Solvers for Relative Pose with a Single Unknown Radial Distortion
In this paper, we study the problems of estimating relative pose between two cameras in the presence of radial distortion.
