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 1431–1440 of 1576 papers

TitleStatusHype
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes—0
Improving 3D Object Detection through Progressive Population Based Augmentation—0
Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds—0
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
Safety-Aware Hardening of 3D Object Detection Neural Network Systems—0
Real-time 3D object proposal generation and classification under limited processing resources—0
Adapting Object Detectors with Conditional Domain Normalization—0
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting—0
Confidence Guided Stereo 3D Object Detection with Split Depth Estimation—0
3D Object Detection from a Single Fisheye Image Without a Single Fisheye Training Image—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