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 491500 of 1576 papers

TitleStatusHype
SA-Det3D: Self-Attention Based Context-Aware 3D Object DetectionCode1
Learning Shared RGB-D Fields: Unified Self-supervised Pre-training for Label-efficient LiDAR-Camera 3D PerceptionCode1
SE-SSD: Self-Ensembling Single-Stage Object Detector From Point CloudCode1
Exploring Active 3D Object Detection from a Generalization PerspectiveCode1
Color-aware two-branch DCNN for efficient plant disease classificationCode1
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point CloudCode1
SimPB: A Single Model for 2D and 3D Object Detection from Multiple CamerasCode1
Group-Free 3D Object Detection via TransformersCode1
GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object DetectionCode1
HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object DetectionCode1
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Benchmark Results

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