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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
Distance-Normalized Unified Representation for Monocular 3D Object Detection—0
Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection—0
Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training—0
GATE3D: Generalized Attention-based Task-synergized Estimation in 3D*—0
Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues—0
Exploring Geometric Consistency for Monocular 3D Object Detection—0
Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection—0
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving—0
HeightFormer: A Semantic Alignment Monocular 3D Object Detection Method from Roadside Perspective—0
IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image—0
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