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 761–770 of 1576 papers

TitleStatusHype
DETR4D: Direct Multi-View 3D Object Detection with Sparse Attention—0
BEVStereo++: Accurate Depth Estimation in Multi-view 3D Object Detection via Dynamic Temporal Stereo—0
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation—0
LiDAR-in-the-Loop Hyperparameter Optimization—0
3D Object Detection With Latent Support Surfaces—0
LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving—0
BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks—0
A Flexible Multi-view Multi-modal Imaging System for Outdoor Scenes—0
LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations—0
LiDAR-Aug: A General Rendering-Based Augmentation Framework for 3D Object Detection—0
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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
2MMFusion-eNDS0.77—Unverified
3MegFusionNDS0.77—Unverified
4RacoonPowerNDS0.76—Unverified
5BEVFusion-eNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8DAANDS0.75—Unverified
9FusionVPENDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified