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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 171–180 of 187 papers

TitleStatusHype
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape ReconstructionCode0
MonoSIM: Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object DetectionCode0
Orthographic Feature Transform for Monocular 3D Object DetectionCode0
Perspective-aware Convolution for Monocular 3D Object DetectionCode0
VCVW-3D: A Virtual Construction Vehicles and Workers Dataset with 3D AnnotationsCode0
Weakly Supervised Monocular 3D Object Detection using Multi-View Projection and Direction ConsistencyCode0
Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object DetectionCode0
MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object LocalizationCode0
Monocular 3D Object Detection with Pseudo-LiDAR Point CloudCode0
Monocular 2D Camera-based Proximity Monitoring for Human-Machine Collision Warning on Construction SitesCode0
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