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

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Showing 201–210 of 1576 papers

TitleStatusHype
Multi-V2X: A Large Scale Multi-modal Multi-penetration-rate Dataset for Cooperative PerceptionCode0
Feature Compression for Cloud-Edge Multimodal 3D Object Detection—0
Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences—0
UniDet3D: Multi-dataset Indoor 3D Object DetectionCode2
Multi-scale Feature Fusion with Point Pyramid for 3D Object Detection—0
GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object DetectionCode1
Study of Dropout in PointPillars with 3D Object Detection—0
Decoupled and Interactive Regression Modeling for High-performance One-stage 3D Object Detection—0
Entropy Loss: An Interpretability Amplifier of 3D Object Detection Network for Intelligent DrivingCode0
CP-VoteNet: Contrastive Prototypical VoteNet for Few-Shot Point Cloud Object Detection—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78—Unverified
2MegFusionNDS0.77—Unverified
3MMFusion-eNDS0.77—Unverified
4BEVFusion-eNDS0.76—Unverified
5RacoonPowerNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8FusionVPENDS0.75—Unverified
9FocalFormer3D-FNDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified