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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 71–80 of 187 papers

TitleStatusHype
Monocular 3D Object Detection using Multi-Stage Approaches with Attention and Slicing aided hyper inference—0
OBMO: One Bounding Box Multiple Objects for Monocular 3D Object DetectionCode0
3D Object Aided Self-Supervised Monocular Depth Estimation—0
IDMS: Instance Depth for Multi-scale Monocular 3D Object Detection—0
Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object DetectionCode0
3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection TransformersCode1
Cross-Modality Knowledge Distillation Network for Monocular 3D Object DetectionCode1
Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection—0
OPA-3D: Occlusion-Aware Pixel-Wise Aggregation for Monocular 3D Object Detection—0
Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision—0
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