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 201–250 of 1576 papers

TitleStatusHype
Among Us: Adversarially Robust Collaborative Perception by ConsensusCode1
BADet: Boundary-Aware 3D Object Detection from Point CloudsCode1
Fully Sparse Fusion for 3D Object DetectionCode1
Bootstraping Clustering of Gaussians for View-consistent 3D Scene UnderstandingCode1
3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object DetectionCode1
3D Bounding Box Estimation Using Deep Learning and GeometryCode1
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity EstimationCode1
A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object DetectionCode1
ALPI: Auto-Labeller with Proxy Injection for 3D Object Detection using 2D Labels OnlyCode1
BoxeR: Box-Attention for 2D and 3D TransformersCode1
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object DetectionCode1
DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and TrackingCode1
3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection TransformersCode1
Bridging the Domain Gap for Multi-Agent PerceptionCode1
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation ModelsCode1
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance SegmentationCode1
Aligning Bird-Eye View Representation of Point Cloud Sequences using Scene FlowCode1
An End-to-End Transformer Model for 3D Object DetectionCode1
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge DistillationCode1
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point CloudsCode1
CaKDP: Category-aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object DetectionCode1
Calibration-free BEV Representation for Infrastructure PerceptionCode1
Fusing Event-based and RGB camera for Robust Object Detection in Adverse ConditionsCode1
Canadian Adverse Driving Conditions DatasetCode1
Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D ScenesCode1
3D Small Object Detection with Dynamic Spatial PruningCode1
DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward GuidanceCode1
CAPE: Camera View Position Embedding for Multi-View 3D Object DetectionCode1
Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous DrivingCode1
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression FrameworkCode1
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D DetectionCode1
DynOPETs: A Versatile Benchmark for Dynamic Object Pose Estimation and Tracking in Moving Camera ScenariosCode1
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
Boosting 3D Object Detection via Object-Focused Image FusionCode1
DiffuBox: Refining 3D Object Detection with Point DiffusionCode1
BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye ViewCode1
Group-Free 3D Object Detection via TransformersCode1
BirdNet: a 3D Object Detection Framework from LiDAR informationCode1
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object DetectionCode1
CenterNet3D: An Anchor Free Object Detector for Point CloudCode1
Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event CamerasCode1
CG-SSD: Corner Guided Single Stage 3D Object Detection from LiDAR Point CloudCode1
Disentangling 3D Prototypical Networks For Few-Shot Concept LearningCode1
4D-Net for Learned Multi-Modal AlignmentCode1
Enhancing 3D Object Detection with 2D Detection-Guided Query AnchorsCode1
aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range PerceptionCode1
Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise BinarizationCode1
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object DetectionCode1
Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR RepresentationsCode1
DID-M3D: Decoupling Instance Depth for Monocular 3D Object DetectionCode1
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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