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 13711380 of 1576 papers

TitleStatusHype
Single-Shot Monocular RGB-D Imaging Using Uneven Double Refraction0
BidNet: Binocular Image Dehazing Without Explicit Disparity EstimationCode0
Joint 3D Instance Segmentation and Object Detection for Autonomous Driving0
Center3D: Center-based Monocular 3D Object Detection with Joint Depth Understanding0
RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting0
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object DetectionCode1
Train in Germany, Test in The USA: Making 3D Object Detectors GeneralizeCode1
Exploring the Capabilities and Limits of 3D Monocular Object Detection -- A Study on Simulation and Real World Data0
RUHSNet: 3D Object Detection Using Lidar Data in Real TimeCode0
View Invariant Human Body Detection and Pose Estimation from Multiple Depth Sensors0
Show:102550
← PrevPage 138 of 158Next →

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