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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 51–100 of 187 papers

TitleStatusHype
Densely Constrained Depth Estimator for Monocular 3D Object DetectionCode1
MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth CluesCode1
SSD-MonoDETR: Supervised Scale-aware Deformable Transformer for Monocular 3D Object DetectionCode1
Depth-conditioned Dynamic Message Propagation for Monocular 3D Object DetectionCode1
MVM3Det: A Novel Method for Multi-view Monocular 3D DetectionCode1
Objects are Different: Flexible Monocular 3D Object DetectionCode1
Is Pseudo-Lidar needed for Monocular 3D Object detection?Code1
Kinematic 3D Object Detection in Monocular VideoCode1
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object DetectionCode1
LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object DetectionCode1
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision TransformerCode1
Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object DetectionCode1
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
Learning Occupancy for Monocular 3D Object DetectionCode1
Lidar Point Cloud Guided Monocular 3D Object DetectionCode1
Lite-FPN for Keypoint-based Monocular 3D Object DetectionCode1
M3D-RPN: Monocular 3D Region Proposal Network for Object DetectionCode1
M3DSSD: Monocular 3D Single Stage Object DetectorCode1
DID-M3D: Decoupling Instance Depth for Monocular 3D Object DetectionCode1
You Only Look Bottom-Up for Monocular 3D Object Detection—0
Weakly Supervised 3D Object Detection with Multi-Stage Generalization—0
3D Object Aided Self-Supervised Monocular Depth Estimation—0
Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving—0
Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving—0
Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth—0
Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection—0
AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features—0
Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision—0
CARLA Drone: Monocular 3D Object Detection from a Different Perspective—0
Center3D: Center-based Monocular 3D Object Detection with Joint Depth Understanding—0
Consistency of Implicit and Explicit Features Matters for Monocular 3D Object Detection—0
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection—0
CubifAE-3D: Monocular Camera Space Cubification for Auto-Encoder based 3D Object Detection—0
Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection—0
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection—0
Delving into the Pre-training Paradigm of Monocular 3D Object Detection—0
Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?—0
Depth-discriminative Metric Learning for Monocular 3D Object Detection—0
Digging Into Output Representation for Monocular 3D Object Detection—0
Dimension Embeddings for Monocular 3D Object Detection—0
Disentangling and Vectorization: A 3D Visual Perception Approach for Autonomous Driving Based on Surround-View Fisheye Cameras—0
Disentangling Monocular 3D Object Detection—0
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
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