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 391400 of 1576 papers

TitleStatusHype
BirdNet: a 3D Object Detection Framework from LiDAR informationCode1
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty EstimationCode1
BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye ViewCode1
MonoNeRD: NeRF-like Representations for Monocular 3D Object DetectionCode1
FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D DetectionCode1
MonoSKD: General Distillation Framework for Monocular 3D Object Detection via Spearman Correlation CoefficientCode1
Boosting 3D Object Detection via Object-Focused Image FusionCode1
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity EstimationCode1
3D Object Detection for Autonomous Driving: A SurveyCode1
Frustum PointNets for 3D Object Detection from RGB-D DataCode1
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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