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 541550 of 1576 papers

TitleStatusHype
Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using FusionCode1
Multi-View Adaptive Fusion Network for 3D Object DetectionCode1
SF-UDA^3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object DetectionCode1
MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous DrivingCode1
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object DetectionCode1
RangeRCNN: Towards Fast and Accurate 3D Object Detection with Range Image RepresentationCode1
Deformable PV-RCNN: Improving 3D Object Detection with Learned DeformationsCode1
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and PredictionCode1
SSN: Shape Signature Networks for Multi-class Object Detection from Point CloudsCode1
Weakly Supervised 3D Object Detection from Point CloudsCode1
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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