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 971–980 of 1576 papers

TitleStatusHype
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds—0
Joint object detection and re-identification for 3D obstacle multi-camera systems—0
Just Add $100 More: Augmenting NeRF-based Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem—0
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection—0
Label-Efficient 3D Object Detection For Road-Side Units—0
Language-Assisted 3D Scene Understanding—0
Language-Guided 3D Object Detection in Point Cloud for Autonomous Driving—0
Large receptive field strategy and important feature extraction strategy in 3D object detection—0
LASA: Instance Reconstruction from Real Scans using A Large-scale Aligned Shape Annotation Dataset—0
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting—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