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 13411350 of 1576 papers

TitleStatusHype
Transformer-based stereo-aware 3D object detection from binocular images0
TransPillars: Coarse-to-Fine Aggregation for Multi-Frame 3D Object Detection0
TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception0
TS40K: a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission System0
UAV3D: A Large-scale 3D Perception Benchmark for Unmanned Aerial Vehicles0
UCDNet: Multi-UAV Collaborative 3D Object Detection Network by Reliable Feature Mapping0
Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive 3D Object Detection0
Uncertainty Estimation for 3D Object Detection via Evidential Learning0
Uncertainty Meets Diversity: A Comprehensive Active Learning Framework for Indoor 3D Object Detection0
Understanding Depth Map Progressively: Adaptive Distance Interval Separation for Monocular 3d Object Detection0
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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