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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 476–500 of 1576 papers

TitleStatusHype
From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object DetectionCode1
Geometry Uncertainty Projection Network for Monocular 3D Object DetectionCode1
Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object DetectionCode1
Unsupervised Domain Adaptive 3D Detection with Multi-Level ConsistencyCode1
Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object DetectionCode1
Multi-Modality Task Cascade for 3D Object DetectionCode1
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View UnderstandingCode1
Representation Based Regression for Object Distance EstimationCode1
Real-time 3D Object Detection using Feature Map FlowCode1
Radar Voxel Fusion for 3D Object DetectionCode1
FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object DetectionCode1
One Million Scenes for Autonomous Driving: ONCE DatasetCode1
3D Object Detection for Autonomous Driving: A SurveyCode1
SRDAN: Scale-Aware and Range-Aware Domain Adaptation Network for Cross-Dataset 3D Object DetectionCode1
High-level camera-LiDAR fusion for 3D object detection with machine learningCode1
FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle DetectionCode1
3D Spatial Recognition without Spatially Labeled 3DCode1
Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous DrivingCode1
Lite-FPN for Keypoint-based Monocular 3D Object DetectionCode1
M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with TransformersCode1
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object DetectionCode1
BADet: Boundary-Aware 3D Object Detection from Point CloudsCode1
SE-SSD: Self-Ensembling Single-Stage Object Detector From Point CloudCode1
Lidar Point Cloud Guided Monocular 3D Object DetectionCode1
HoughNet: Integrating near and long-range evidence for visual detectionCode1
Show:102550
← PrevPage 20 of 64Next →
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