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 871880 of 1576 papers

TitleStatusHype
MSF3DDETR: Multi-Sensor Fusion 3D Detection Transformer for Autonomous Driving0
LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations0
IDD-3D: Indian Driving Dataset for 3D Unstructured Road ScenesCode0
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in TransformersCode0
XC: Exploring Quantitative Use Cases for Explanations in 3D Object DetectionCode0
PSA-Det3D: Pillar Set Abstraction for 3D object Detection0
Domain Adaptation in 3D Object Detection with Gradual Batch Alternation Training0
Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection0
Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel LogisticsCode1
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 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