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 961970 of 1576 papers

TitleStatusHype
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object DetectionCode1
Bounding Box Disparity: 3D Metrics for Object Detection With Full Degree of FreedomCode1
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty EstimationCode1
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse TransformersCode2
Boosting Single-Frame 3D Object Detection by Simulating Multi-Frame Point Clouds0
ORA3D: Overlap Region Aware Multi-view 3D Object Detection0
Masked Autoencoder for Self-Supervised Pre-training on Lidar Point CloudsCode1
Boosting 3D Object Detection by Simulating Multimodality on Point Clouds0
PolarFormer: Multi-camera 3D Object Detection with Polar TransformerCode1
HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object DetectionCode1
Show:102550
← PrevPage 97 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