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 221230 of 1576 papers

TitleStatusHype
CaKDP: Category-aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object DetectionCode1
Calibration-free BEV Representation for Infrastructure PerceptionCode1
BirdNet: a 3D Object Detection Framework from LiDAR informationCode1
Canadian Adverse Driving Conditions DatasetCode1
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D QueriesCode1
3D Small Object Detection with Dynamic Spatial PruningCode1
aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range PerceptionCode1
CAPE: Camera View Position Embedding for Multi-View 3D Object DetectionCode1
DSGN: Deep Stereo Geometry Network for 3D Object DetectionCode1
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 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