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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 1–50 of 187 papers

TitleStatusHype
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
Open Vocabulary Monocular 3D Object DetectionCode2
Training an Open-Vocabulary Monocular 3D Object Detection Model without 3D Data—0
Efficient Feature Aggregation and Scale-Aware Regression for Monocular 3D Object DetectionCode1
MonoDGP: Monocular 3D Object Detection with Decoupled-Query and Geometry-Error PriorsCode2
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
WARM-3D: A Weakly-Supervised Sim2Real Domain Adaptation Framework for Roadside Monocular 3D Object DetectionCode1
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object DetectionCode2
LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object DetectionCode1
Fully Test-Time Adaptation for Monocular 3D Object DetectionCode2
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
MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object DetectionCode1
MonoCD: Monocular 3D Object Detection with Complementary DepthsCode2
VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object DetectionCode1
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
MonoLSS: Learnable Sample Selection For Monocular 3D DetectionCode1
Mono3DVG: 3D Visual Grounding in Monocular ImagesCode1
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D DetectionCode1
ODM3D: Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object DetectionCode0
GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object DetectionCode1
MonoSKD: General Distillation Framework for Monocular 3D Object Detection via Spearman Correlation CoefficientCode1
Rotation Matters: Generalized Monocular 3D Object Detection for Various Camera Systems—0
CoBEV: Elevating Roadside 3D Object Detection with Depth and Height ComplementarityCode1
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
MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth CluesCode1
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
Perspective-aware Convolution for Monocular 3D Object DetectionCode0
Delving into Motion-Aware Matching for Monocular 3D Object TrackingCode1
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