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 771780 of 1576 papers

TitleStatusHype
Generalized Few-Shot 3D Object Detection of LiDAR Point Cloud for Autonomous Driving0
TR3D: Towards Real-Time Indoor 3D Object DetectionCode0
FastPillars: A Deployment-friendly Pillar-based 3D DetectorCode1
AOP-Net: All-in-One Perception Network for Joint LiDAR-based 3D Object Detection and Panoptic Segmentation0
Eloss in the way: A Sensitive Input Quality Metrics for Intelligent DrivingCode0
LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object DetectionCode1
3D Object Detection in LiDAR Point Clouds using Graph Neural Networks0
On the Adversarial Robustness of Camera-based 3D Object DetectionCode1
Exploring Active 3D Object Detection from a Generalization PerspectiveCode1
Unleash the Potential of Image Branch for Cross-modal 3D Object DetectionCode1
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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