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Monocular 3D Object Detection

Monocular 3D Object Detection is the task to draw 3D bounding box around objects in a single 2D RGB image. It is localization task but without any extra information like depth or other sensors or multiple-images.

Papers

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Showing 61–70 of 187 papers

TitleStatusHype
Homography Loss for Monocular 3D Object DetectionCode1
Delving into Motion-Aware Matching for Monocular 3D Object TrackingCode1
M3D-RPN: Monocular 3D Region Proposal Network for Object DetectionCode1
Mono3DVG: 3D Visual Grounding in Monocular ImagesCode1
M3DSSD: Monocular 3D Single Stage Object DetectorCode1
Is Pseudo-Lidar needed for Monocular 3D Object detection?Code1
MonoDistill: Learning Spatial Features for Monocular 3D Object DetectionCode1
LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object DetectionCode1
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object DetectionCode1
IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image—0
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