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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 121–130 of 187 papers

TitleStatusHype
Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver—0
Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation—0
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning—0
MonoDETRNext: Next-Generation Accurate and Efficient Monocular 3D Object Detector—0
MonoDiff: Monocular 3D Object Detection and Pose Estimation with Diffusion Models—0
MonoEdge: Monocular 3D Object Detection Using Local Perspectives—0
MonoGAE: Roadside Monocular 3D Object Detection with Ground-Aware Embeddings—0
MonoGRNet: A General Framework for Monocular 3D Object Detection—0
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders—0
MonoMM: A Multi-scale Mamba-Enhanced Network for Real-time Monocular 3D Object Detection—0
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