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 11311140 of 1576 papers

TitleStatusHype
3D Object Detection Combining Semantic and Geometric Features from Point Clouds0
3D-FCT: Simultaneous 3D Object Detection and Tracking Using Feature Correlation0
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation0
Digging Into Output Representation for Monocular 3D Object Detection0
Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive 3D Object Detection0
Automatic Map Update Using Dashcam Videos0
MVM3Det: A Novel Method for Multi-view Monocular 3D DetectionCode1
Advancing Self-supervised Monocular Depth Learning with Sparse LiDARCode1
Traffic-Net: 3D Traffic Monitoring Using a Single Camera0
An End-to-End Transformer Model for 3D Object DetectionCode1
Show:102550
← PrevPage 114 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