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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 21–30 of 187 papers

TitleStatusHype
CoBEV: Elevating Roadside 3D Object Detection with Depth and Height ComplementarityCode1
MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth CluesCode1
Delving into Motion-Aware Matching for Monocular 3D Object TrackingCode1
MonoNeRD: NeRF-like Representations for Monocular 3D Object DetectionCode1
Learning Occupancy for Monocular 3D Object DetectionCode1
SSD-MonoDETR: Supervised Scale-aware Deformable Transformer for Monocular 3D Object DetectionCode1
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision TransformerCode1
3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object DetectionCode1
3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection TransformersCode1
Cross-Modality Knowledge Distillation Network for Monocular 3D Object DetectionCode1
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