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 11711180 of 1576 papers

TitleStatusHype
DV-Det: Efficient 3D Point Cloud Object Detection with Dynamic Voxelization0
AA3DNet: Attention Augmented Real Time 3D Object Detection0
Multi-Echo LiDAR for 3D Object Detection0
Unsupervised Domain Adaptive 3D Detection with Multi-Level ConsistencyCode1
Disentangling and Vectorization: A 3D Visual Perception Approach for Autonomous Driving Based on Surround-View Fisheye Cameras0
Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object DetectionCode1
Multi-Modality Task Cascade for 3D Object DetectionCode1
VIN: Voxel-based Implicit Network for Joint 3D Object Detection and Segmentation for Lidars0
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance VotingCode0
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View UnderstandingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MMFusion-eNDS0.77Unverified
3MegFusionNDS0.77Unverified
4RacoonPowerNDS0.76Unverified
5BEVFusion-eNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8DAANDS0.75Unverified
9FusionVPENDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified