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 571580 of 1576 papers

TitleStatusHype
itKD: Interchange Transfer-based Knowledge Distillation for 3D Object DetectionCode1
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object DetectionCode1
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image VotesCode1
General Geometry-aware Weakly Supervised 3D Object DetectionCode1
3D Object Detection for Autonomous Driving: A SurveyCode1
Improving 3D Object Detection with Channel-wise TransformerCode1
GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object DetectionCode1
3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object DetectionCode1
MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty PropagationCode1
Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous DrivingCode1
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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