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 791800 of 1576 papers

TitleStatusHype
StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection0
MonoEdge: Monocular 3D Object Detection Using Local Perspectives0
Cross Modal Transformer: Towards Fast and Robust 3D Object DetectionCode3
Argoverse 2: Next Generation Datasets for Self-Driving Perception and ForecastingCode2
Learning from Noisy Data for Semi-Supervised 3D Object DetectionCode1
Query Refinement Transformer for 3D Instance Segmentation0
3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object DetectionCode1
MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation0
A Fast Unified System for 3D Object Detection and TrackingCode1
Towards Universal LiDAR-Based 3D Object Detection by Multi-Domain Knowledge Transfer0
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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