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 11211130 of 1576 papers

TitleStatusHype
Multimodal Virtual Point 3D DetectionCode1
Frustum Fusion: Pseudo-LiDAR and LiDAR Fusion for 3D Detection0
Learning Distilled Collaboration Graph for Multi-Agent PerceptionCode1
Structure Information is the Key: Self-Attention RoI Feature Extractor in 3D Object Detection0
VPFNet: Voxel-Pixel Fusion Network for Multi-class 3D Object Detection0
Object DGCNN: 3D Object Detection using Dynamic GraphsCode1
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D QueriesCode1
Improved Pillar with Fine-grained Feature for 3D Object Detection0
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDARCode1
UrbanNet: Leveraging Urban Maps for Long Range 3D Object DetectionCode0
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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