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 10611070 of 1576 papers

TitleStatusHype
Point Density-Aware Voxels for LiDAR 3D Object DetectionCode1
PETR: Position Embedding Transformation for Multi-View 3D Object DetectionCode3
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label EnhancementCode1
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with TransformersCode2
An Online Semantic Mapping System for Extending and Enhancing Visual SLAM0
A Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation0
Time-to-Label: Temporal Consistency for Self-Supervised Monocular 3D Object Detection0
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous DrivingCode1
SoftGroup for 3D Instance Segmentation on Point CloudsCode2
Dense Voxel Fusion for 3D Object Detection0
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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