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 13211330 of 1576 papers

TitleStatusHype
A Density-Aware PointRCNN for 3D Object Detection in Point Clouds0
Adjusting Bias in Long Range Stereo Matching: A semantics guided approach0
RoIFusion: 3D Object Detection from LiDAR and Vision0
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object DetectionCode1
RangeRCNN: Towards Fast and Accurate 3D Object Detection with Range Image RepresentationCode1
Reinforced Axial Refinement Network for Monocular 3D Object Detection0
PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges0
3D for Free: Crossmodal Transfer Learning using HD Maps0
Towards Autonomous Driving: a Multi-Modal 360^ Perception Proposal0
Deformable PV-RCNN: Improving 3D Object Detection with Learned DeformationsCode1
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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