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 15111520 of 1576 papers

TitleStatusHype
MVX-Net: Multimodal VoxelNet for 3D Object Detection0
Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles0
Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving0
FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds0
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving0
Monocular 3D Object Detection with Pseudo-LiDAR Point CloudCode0
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving0
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object DetectionCode0
The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes0
DPOD: 6D Pose Object Detector and RefinerCode0
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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