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 411420 of 1576 papers

TitleStatusHype
3D Object Detection for Autonomous Driving: A SurveyCode1
DSRC: Learning Density-insensitive and Semantic-aware Collaborative Representation against CorruptionsCode1
DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and TrackingCode1
Among Us: Adversarially Robust Collaborative Perception by ConsensusCode1
FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object DetectionCode1
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point CloudCode1
A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object DetectionCode1
IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous DrivingCode1
Frustum PointNets for 3D Object Detection from RGB-D DataCode1
FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D DetectionCode1
Show:102550
← PrevPage 42 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