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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 81–90 of 187 papers

TitleStatusHype
Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues—0
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection—0
GATE3D: Generalized Attention-based Task-synergized Estimation in 3D*—0
Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving—0
Monocular 3D Object Detection using Multi-Stage Approaches with Attention and Slicing aided hyper inference—0
Monocular 3D Object Detection via Geometric Reasoning on Keypoints—0
Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training—0
Consistency of Implicit and Explicit Features Matters for Monocular 3D Object Detection—0
Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection—0
MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models—0
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