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 376–400 of 1576 papers

TitleStatusHype
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D QueriesCode1
3D Object Detection with PointformerCode1
AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object DetectionCode1
CR3DT: Camera-RADAR Fusion for 3D Detection and TrackingCode1
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression FrameworkCode1
DID-M3D: Decoupling Instance Depth for Monocular 3D Object DetectionCode1
HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object DetectionCode1
MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth CluesCode1
Enhancing 3D Object Detection with 2D Detection-Guided Query AnchorsCode1
MonoNeRD: NeRF-like Representations for Monocular 3D Object DetectionCode1
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object DetectionCode1
aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range PerceptionCode1
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object DetectionCode1
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image VotesCode1
Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous DrivingCode1
End-to-End Pseudo-LiDAR for Image-Based 3D Object DetectionCode1
Is Pseudo-Lidar needed for Monocular 3D Object detection?Code1
CoreNet: Conflict Resolution Network for Point-Pixel Misalignment and Sub-Task Suppression of 3D LiDAR-Camera Object DetectionCode1
EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object DetectionCode1
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial RelationshipsCode1
CORE: Cooperative Reconstruction for Multi-Agent PerceptionCode1
FADet: A Multi-sensor 3D Object Detection Network based on Local Featured AttentionCode1
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity EstimationCode1
End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and LocalizationCode1
3D Object Detection for Autonomous Driving: A SurveyCode1
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All datasetsnuScenesScanNetV2SUN-RGBD valKITTI Cars EasyKITTI Cars HardnuScenes Camera OnlyKITTI Cars Easy valKITTI Cars Moderate valnuscenes Camera-RadarView-of-Delft (val)KITTI Cars Hard valDAIR-V2X-I

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