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 1201–1225 of 1576 papers

TitleStatusHype
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object DetectionCode0
BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China—0
High-level camera-LiDAR fusion for 3D object detection with machine learningCode1
Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systemsCode0
FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle DetectionCode1
3D Spatial Recognition without Spatially Labeled 3DCode1
Enabling 3D Object Detection with a Low-Resolution LiDAR—0
Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous DrivingCode1
Lite-FPN for Keypoint-based Monocular 3D Object DetectionCode1
Temp-Frustum Net: 3D Object Detection with Temporal FusionCode0
M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with TransformersCode1
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object DetectionCode1
Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird's Eye View—0
Exploring 2D Data Augmentation for 3D Monocular Object Detection—0
BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving—0
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
MonoGRNet: A General Framework for Monocular 3D Object Detection—0
HoughNet: Integrating near and long-range evidence for visual detectionCode1
OCM3D: Object-Centric Monocular 3D Object Detection—0
Back-tracing Representative Points for Voting-based 3D Object Detection in Point CloudsCode1
VR3Dense: Voxel Representation Learning for 3D Object Detection and Monocular Dense Depth ReconstructionCode1
Exploring Geometric Consistency for Monocular 3D Object Detection—0
CoCoNets: Continuous Contrastive 3D Scene RepresentationsCode1
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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