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 851860 of 1576 papers

TitleStatusHype
aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range PerceptionCode1
ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3D Object Detection0
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object DetectionCode1
Multi-Camera Multi-Object Tracking on the Move via Single-Stage Global Association Approach0
You Only Label Once: 3D Box Adaptation from Point Cloud to Image via Semi-Supervised Learning0
3D Cascade RCNN: High Quality Object Detection in Point CloudsCode1
Towards 3D Object Detection with 2D Supervision0
PAI3D: Painting Adaptive Instance-Prior for 3D Object Detection0
Boosting Semi-Supervised 3D Object Detection with Semi-SamplingCode0
Robust Collaborative 3D Object Detection in Presence of Pose ErrorsCode1
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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