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 371380 of 1576 papers

TitleStatusHype
Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel LogisticsCode1
Bridging the Domain Gap for Multi-Agent PerceptionCode1
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point CloudsCode1
D-Align: Dual Query Co-attention Network for 3D Object Detection Based on Multi-frame Point Cloud SequenceCode1
PointPillars Backbone Type Selection For Fast and Accurate LiDAR Object DetectionCode1
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object DetectionCode1
A Dual-Cycled Cross-View Transformer Network for Unified Road Layout Estimation and 3D Object Detection in the Bird's-Eye-ViewCode1
Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object DetectionCode1
A Simple Baseline for Multi-Camera 3D Object DetectionCode1
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local GraphCode1
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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