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

Showing 12011210 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 China0
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 LiDAR0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MegFusionNDS0.77Unverified
3MMFusion-eNDS0.77Unverified
4BEVFusion-eNDS0.76Unverified
5RacoonPowerNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8FusionVPENDS0.75Unverified
9FocalFormer3D-FNDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified