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 591600 of 1576 papers

TitleStatusHype
labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point CloudsCode1
Learning Ego 3D Representation as Ray TracingCode1
MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-TrainingCode1
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local GraphCode1
Lightweight LiDAR-Camera 3D Dynamic Object Detection and Multi-Class Trajectory PredictionCode1
MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object DetectionCode1
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object DetectionCode1
Ground-aware Monocular 3D Object Detection for Autonomous DrivingCode1
ReBound: An Open-Source 3D Bounding Box Annotation Tool for Active LearningCode1
YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D DetectionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MegFusionNDS0.77Unverified
3MMFusion-eNDS0.77Unverified
4BEVFusion-eNDS0.76Unverified
5RacoonPowerNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8FusionVPENDS0.75Unverified
9FocalFormer3D-FNDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified