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 12811290 of 1576 papers

TitleStatusHype
Exploring Data Augmentation for Multi-Modality 3D Object DetectionCode1
Multi-Task Multi-Sensor Fusion for 3D Object Detection0
HDNET: Exploiting HD Maps for 3D Object Detection0
3D Object Detection with PointformerCode1
Deep Continuous Fusion for Multi-Sensor 3D Object Detection0
Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsCode2
PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection0
R-AGNO-RPN: A LIDAR-Camera Region Deep Network for Resolution-Agnostic Detection0
Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?0
Accurate 3D Object Detection using Energy-Based ModelsCode1
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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