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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
Lite-FPN for Keypoint-based Monocular 3D Object DetectionCode1
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object DetectionCode1
Lidar Point Cloud Guided Monocular 3D Object DetectionCode1
Geometry-based Distance Decomposition for Monocular 3D Object DetectionCode1
Objects are Different: Flexible Monocular 3D Object DetectionCode1
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object DetectionCode1
Depth-conditioned Dynamic Message Propagation for Monocular 3D Object DetectionCode1
Delving into Localization Errors for Monocular 3D Object DetectionCode1
M3DSSD: Monocular 3D Single Stage Object DetectorCode1
MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty PropagationCode1
Holistic 3D Scene Understanding from a Single Image with Implicit RepresentationCode1
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
Ground-aware Monocular 3D Object Detection for Autonomous DrivingCode1
Monocular 3D Object Detection with Sequential Feature Association and Depth Hint AugmentationCode1
Kinematic 3D Object Detection in Monocular VideoCode1
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial RelationshipsCode1
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single ImageCode1
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint EstimationCode1
M3D-RPN: Monocular 3D Region Proposal Network for Object DetectionCode1
SpikeSMOKE: Spiking Neural Networks for Monocular 3D Object Detection with Cross-Scale Gated Coding—0
MonoCoP: Chain-of-Prediction for Monocular 3D Object Detection—0
Weak Cube R-CNN: Weakly Supervised 3D Detection using only 2D Bounding Boxes—0
GATE3D: Generalized Attention-based Task-synergized Estimation in 3D*—0
MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models—0
IROAM: Improving Roadside Monocular 3D Object Detection Learning from Autonomous Vehicle Data Domain—0
AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features—0
Revisiting Monocular 3D Object Detection from Scene-Level Depth Retargeting to Instance-Level Spatial Refinement—0
V-MIND: Building Versatile Monocular Indoor 3D Detector with Diverse 2D Annotations—0
Training an Open-Vocabulary Monocular 3D Object Detection Model without 3D Data—0
HeightFormer: A Semantic Alignment Monocular 3D Object Detection Method from Roadside Perspective—0
Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection—0
CARLA Drone: Monocular 3D Object Detection from a Different Perspective—0
LAM3D: Leveraging Attention for Monocular 3D Object Detection—0
MonoMM: A Multi-scale Mamba-Enhanced Network for Real-time Monocular 3D Object Detection—0
MonoDETRNext: Next-Generation Accurate and Efficient Monocular 3D Object Detector—0
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders—0
VFMM3D: Releasing the Potential of Image by Vision Foundation Model for Monocular 3D Object Detection—0
MOSE: Boosting Vision-based Roadside 3D Object Detection with Scene Cues—0
Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection—0
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator—0
Towards Unified 3D Object Detection via Algorithm and Data Unification—0
You Only Look Bottom-Up for Monocular 3D Object Detection—0
Depth-discriminative Metric Learning for Monocular 3D Object Detection—0
MonoDiff: Monocular 3D Object Detection and Pose Estimation with Diffusion Models—0
ODM3D: Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object DetectionCode0
Rotation Matters: Generalized Monocular 3D Object Detection for Various Camera Systems—0
Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training—0
MonoGAE: Roadside Monocular 3D Object Detection with Ground-Aware Embeddings—0
Polygon Intersection-over-Union Loss for Viewpoint-Agnostic Monocular 3D Vehicle Detection—0
S^3-MonoDETR: Supervised Shape&Scale-perceptive Deformable Transformer for Monocular 3D Object DetectionCode0
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