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 451460 of 1576 papers

TitleStatusHype
ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D DataCode1
Multimodal Virtual Point 3D DetectionCode1
Learning Distilled Collaboration Graph for Multi-Agent PerceptionCode1
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D QueriesCode1
Object DGCNN: 3D Object Detection using Dynamic GraphsCode1
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDARCode1
MVM3Det: A Novel Method for Multi-view Monocular 3D DetectionCode1
Advancing Self-supervised Monocular Depth Learning with Sparse LiDARCode1
An End-to-End Transformer Model for 3D Object DetectionCode1
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle CommunicationCode1
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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