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 451–500 of 1576 papers

TitleStatusHype
ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D DataCode1
Multimodal Virtual Point 3D DetectionCode1
Learning Distilled Collaboration Graph for Multi-Agent PerceptionCode1
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D QueriesCode1
Object DGCNN: 3D Object Detection using Dynamic GraphsCode1
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDARCode1
MVM3Det: A Novel Method for Multi-view Monocular 3D DetectionCode1
Advancing Self-supervised Monocular Depth Learning with Sparse LiDARCode1
An End-to-End Transformer Model for 3D Object DetectionCode1
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle CommunicationCode1
Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object DetectionCode1
Voxel Transformer for 3D Object DetectionCode1
4D-Net for Learned Multi-Modal AlignmentCode1
Spatio-temporal Self-Supervised Representation Learning for 3D Point CloudsCode1
AutoShape: Real-Time Shape-Aware Monocular 3D Object DetectionCode1
ODAM: Object Detection, Association, and Mapping using Posed RGB VideoCode1
Improving 3D Object Detection with Channel-wise TransformerCode1
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object DetectionCode1
Is Pseudo-Lidar needed for Monocular 3D Object detection?Code1
PVT: Point-Voxel Transformer for Point Cloud LearningCode1
Progressive Coordinate Transforms for Monocular 3D Object DetectionCode1
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherCode1
Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point CloudCode1
From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point DecoderCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
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
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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