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 371–380 of 1576 papers

TitleStatusHype
IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object DetectionCode3
CR3DT: Camera-RADAR Fusion for 3D Detection and TrackingCode1
3D Object Detection from Point Cloud via Voting Step DiffusionCode0
Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban EnvironmentsCode1
SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model—0
EffiPerception: an Efficient Framework for Various Perception Tasks—0
GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection—0
Just Add $100 More: Augmenting NeRF-based Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem—0
V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions—0
SimPB: A Single Model for 2D and 3D Object Detection from Multiple CamerasCode1
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All datasetsnuScenesScanNetV2SUN-RGBD valKITTI Cars EasyKITTI Cars HardnuScenes Camera OnlyKITTI Cars Easy valKITTI Cars Moderate valnuscenes Camera-RadarView-of-Delft (val)KITTI Cars Hard valDAIR-V2X-I

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