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 931940 of 1576 papers

TitleStatusHype
Global Hierarchical Attention for 3D Point Cloud Analysis0
TransPillars: Coarse-to-Fine Aggregation for Multi-Frame 3D Object Detection0
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions0
PolarMix: A General Data Augmentation Technique for LiDAR Point CloudsCode2
Semi-supervised 3D Object Detection with Proficient TeachersCode1
Monocular 3D Object Detection with Depth from MotionCode2
ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object DetectionCode1
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds0
Label-Guided Auxiliary Training Improves 3D Object DetectorCode0
Computer Vision Aided mmWave Beam Alignment in V2X CommunicationsCode0
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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