SOTAVerified

3D Object Detection

3D Object Detection is a task in computer vision where the goal is to identify and locate objects in a 3D environment based on their shape, location, and orientation. It involves detecting the presence of objects and determining their location in the 3D space in real-time. This task is crucial for applications such as autonomous vehicles, robotics, and augmented reality.

( Image credit: AVOD )

Papers

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Showing 1–50 of 1576 papers

TitleStatusHype
UltimateDO: An Efficient Framework to Marry Occupancy Prediction with 3D Object Detection via Channel2heightCode4
TUMTraf V2X Cooperative Perception DatasetCode4
ActiveAnno3D -- An Active Learning Framework for Multi-Modal 3D Object DetectionCode4
FoundationPose: Unified 6D Pose Estimation and Tracking of Novel ObjectsCode4
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective SupervisionCode4
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View RepresentationCode4
BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal TransformersCode4
Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation ModelsCode3
Detect Anything 3D in the WildCode3
Text-guided Sparse Voxel Pruning for Efficient 3D Visual GroundingCode3
Cubify Anything: Scaling Indoor 3D Object DetectionCode3
Panacea+: Panoramic and Controllable Video Generation for Autonomous DrivingCode3
DeepInteraction++: Multi-Modality Interaction for Autonomous DrivingCode3
LION: Linear Group RNN for 3D Object Detection in Point CloudsCode3
Collaborative Novel Object Discovery and Box-Guided Cross-Modal Alignment for Open-Vocabulary 3D Object DetectionCode3
RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object DetectionCode3
IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object DetectionCode3
Detecting As Labeling: Rethinking LiDAR-camera Fusion in 3D Object DetectionCode3
Leveraging Vision-Centric Multi-Modal Expertise for 3D Object DetectionCode3
MagicDrive: Street View Generation with Diverse 3D Geometry ControlCode3
Geometric-aware Pretraining for Vision-centric 3D Object DetectionCode3
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown ObjectsCode3
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationCode3
SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous DrivingCode3
Cross Modal Transformer: Towards Fast and Robust 3D Object DetectionCode3
PETRv2: A Unified Framework for 3D Perception from Multi-Camera ImagesCode3
BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object DetectionCode3
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationCode3
PETR: Position Embedding Transformation for Multi-View 3D Object DetectionCode3
MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object DetectionCode2
Simulate Any Radar: Attribute-Controllable Radar Simulation via Waveform Parameter EmbeddingCode2
HGSFusion: Radar-Camera Fusion with Hybrid Generation and Synchronization for 3D Object DetectionCode2
OpenAD: Open-World Autonomous Driving Benchmark for 3D Object DetectionCode2
Open Vocabulary Monocular 3D Object DetectionCode2
GaussianPretrain: A Simple Unified 3D Gaussian Representation for Visual Pre-training in Autonomous DrivingCode2
V2X-R: Cooperative LiDAR-4D Radar Fusion for 3D Object Detection with Denoising DiffusionCode2
ImOV3D: Learning Open-Vocabulary Point Clouds 3D Object Detection from Only 2D ImagesCode2
MonoDGP: Monocular 3D Object Detection with Decoupled-Query and Geometry-Error PriorsCode2
3DGS-DET: Empower 3D Gaussian Splatting with Boundary Guidance and Box-Focused Sampling for 3D Object DetectionCode2
DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy PredictionCode2
RockTrack: A 3D Robust Multi-Camera-Ken Multi-Object Tracking FrameworkCode2
UniDet3D: Multi-dataset Indoor 3D Object DetectionCode2
L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object DetectionCode2
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object DetectionCode2
OPEN: Object-wise Position Embedding for Multi-view 3D Object DetectionCode2
When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark DatasetCode2
Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object DetectionCode2
EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation ModelsCode2
BEVSpread: Spread Voxel Pooling for Bird's-Eye-View Representation in Vision-based Roadside 3D Object DetectionCode2
EFFOcc: A Minimal Baseline for EFficient Fusion-based 3D Occupancy NetworkCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78—Unverified
2MMFusion-eNDS0.77—Unverified
3MegFusionNDS0.77—Unverified
4RacoonPowerNDS0.76—Unverified
5BEVFusion-eNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8DAANDS0.75—Unverified
9FusionVPENDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified