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Found 3 papers, 2 papers with code
Learning Neural Volumetric Pose Features for Camera Localization
We introduce a novel neural volumetric pose feature, termed PoseMap, designed to enhance camera localization by encapsulating the information between images and the associated camera poses.
Homography Loss for Monocular 3D Object Detection
Monocular 3D object detection is an essential task in autonomous driving.
Enhance Images as You Like with Unpaired Learning
Low-light image enhancement exhibits an ill-posed nature, as a given image may have many enhanced versions, yet recent studies focus on building a deterministic mapping from input to an enhanced version.
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