R4Det fuses 4D radar and camera inputs via panoramic depth fusion, deformable gated temporal fusion without ego pose, and instance-guided refinement to reach state-of-the-art 3D detection on TJ4DRadSet and VoD.
Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2verdicts
UNVERDICTED 2representative citing papers
MapAnything automates 3D geo-localization of urban assets from monocular images via metric depth estimation combined with geometric calculations, with validation against LiDAR point clouds.
citing papers explorer
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R4Det: 4D Radar-Camera Fusion for High-Performance 3D Object Detection
R4Det fuses 4D radar and camera inputs via panoramic depth fusion, deformable gated temporal fusion without ego pose, and instance-guided refinement to reach state-of-the-art 3D detection on TJ4DRadSet and VoD.
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MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization
MapAnything automates 3D geo-localization of urban assets from monocular images via metric depth estimation combined with geometric calculations, with validation against LiDAR point clouds.