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 13911400 of 1576 papers

TitleStatusHype
SSN: Shape Signature Networks for Multi-class Object Detection from Point CloudsCode1
Finding Your (3D) Center: 3D Object Detection Using a Learned LossCode1
Quantifying Data Augmentation for LiDAR based 3D Object Detection0
Improving 3D Object Detection through Progressive Population Based Augmentation0
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes0
Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds0
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance SegmentationCode1
Predicting Semantic Map Representations from Images using Pyramid Occupancy NetworksCode1
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery0
Safety-Aware Hardening of 3D Object Detection Neural Network Systems0
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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