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 521530 of 1576 papers

TitleStatusHype
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object DetectionCode1
A Simple and Efficient Multi-task Network for 3D Object Detection and Road UnderstandingCode1
labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point CloudsCode1
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
Ground-aware Monocular 3D Object Detection for Autonomous DrivingCode1
PLUMENet: Efficient 3D Object Detection from Stereo ImagesCode1
SA-Det3D: Self-Attention Based Context-Aware 3D Object DetectionCode1
RangeDet: In Defense of Range View for LiDAR-Based 3D Object DetectionCode1
Voxel R-CNN: Towards High Performance Voxel-based 3D Object DetectionCode1
RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency Embedding Space for Autonomous DrivingCode1
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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