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
Is Pseudo-Lidar needed for Monocular 3D Object detection?Code1
FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D DetectionCode1
CoBEV: Elevating Roadside 3D Object Detection with Depth and Height ComplementarityCode1
FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle DetectionCode1
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDARCode1
labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point CloudsCode1
FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object DetectionCode1
Color-aware two-branch DCNN for efficient plant disease classificationCode1
Accelerate 3D Object Detection Models via Zero-Shot Attention Key PruningCode1
Homography Loss for Monocular 3D Object DetectionCode1
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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