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 251–275 of 1576 papers

TitleStatusHype
ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D DataCode1
Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous DrivingCode1
ARM3D: Attention-based relation module for indoor 3D object detectionCode1
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherCode1
High-level camera-LiDAR fusion for 3D object detection with machine learningCode1
HoughNet: Integrating near and long-range evidence for visual detectionCode1
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image VotesCode1
Learning Ego 3D Representation as Ray TracingCode1
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point CloudCode1
GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object DetectionCode1
3D Object Detection with PointformerCode1
DQS3D: Densely-matched Quantization-aware Semi-supervised 3D DetectionCode1
H3DNet: 3D Object Detection Using Hybrid Geometric PrimitivesCode1
SimDistill: Simulated Multi-modal Distillation for BEV 3D Object DetectionCode1
DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and TrackingCode1
Ground-aware Monocular 3D Object Detection for Autonomous DrivingCode1
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object DetectionCode1
BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving ScenariosCode1
AFDet: Anchor Free One Stage 3D Object DetectionCode1
Group-Free 3D Object Detection via TransformersCode1
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object DetectionCode1
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object DetectionCode1
A Fast Unified System for 3D Object Detection and TrackingCode1
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object DetectionCode1
3D Object Detection with a Self-supervised Lidar Scene Flow BackboneCode1
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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