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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 1–25 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
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