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 12611270 of 1576 papers

TitleStatusHype
3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images0
DPointNet: A Density-Oriented PointNet for 3D Object Detection in Point Clouds0
Object Removal Attacks on LiDAR-based 3D Object Detectors0
Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues0
Ground-aware Monocular 3D Object Detection for Autonomous DrivingCode1
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection0
Towards Universal Physical Attacks On Cascaded Camera-Lidar 3D Object Detection Models0
A two-stage data association approach for 3D Multi-object Tracking0
Auto4D: Learning to Label 4D Objects from Sequential Point Clouds0
PLUMENet: Efficient 3D Object Detection from Stereo ImagesCode1
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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