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 15411550 of 1576 papers

TitleStatusHype
Learning Permutation Invariant Representations using Memory NetworksCode0
DR.CPO: Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR OcclusionCode0
Learning Depth-Guided Convolutions for Monocular 3D Object DetectionCode0
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in TransformersCode0
Care3D: An Active 3D Object Detection Dataset of Real Robotic-Care EnvironmentsCode0
DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object DetectionCode0
DPOD: 6D Pose Object Detector and RefinerCode0
Bridged Transformer for Vision and Point Cloud 3D Object DetectionCode0
Language-Driven Active Learning for Diverse Open-Set 3D Object DetectionCode0
Label-Guided Auxiliary Training Improves 3D Object DetectorCode0
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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