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 13311340 of 1576 papers

TitleStatusHype
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and PredictionCode1
Cross-Modality 3D Object Detection0
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery0
SSN: Shape Signature Networks for Multi-class Object Detection from Point CloudsCode1
Distance-Normalized Unified Representation for Monocular 3D Object Detection0
Monocular 3D Object Detection via Feature Domain Adaptation0
Rotation-robust Intersection over Union for 3D Object Detection0
Searching Efficient 3D Architectures with Sparse Point-Voxel ConvolutionCode2
Weakly Supervised 3D Object Detection from Point CloudsCode1
Part-Aware Data Augmentation for 3D Object Detection in Point CloudCode1
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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