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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 571–580 of 1576 papers

TitleStatusHype
Group Regression for Query Based Object Detection and Tracking—0
SOGDet: Semantic-Occupancy Guided Multi-view 3D Object DetectionCode1
Perspective-aware Convolution for Monocular 3D Object DetectionCode0
On Offline Evaluation of 3D Object Detection for Autonomous Driving—0
I3DOD: Towards Incremental 3D Object Detection via Prompting—0
Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey—0
Delving into Motion-Aware Matching for Monocular 3D Object TrackingCode1
UniM^2AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous DrivingCode1
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection—0
ThermRad: A Multi-modal Dataset for Robust 3D Object Detection under Challenging Conditions—0
Show:102550
← PrevPage 58 of 158Next →
All datasetsnuScenesScanNetV2SUN-RGBD valKITTI Cars EasyKITTI Cars HardnuScenes Camera OnlyKITTI Cars Easy valKITTI Cars Moderate valnuscenes Camera-RadarView-of-Delft (val)KITTI Cars Hard valDAIR-V2X-I

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78—Unverified
2MMFusion-eNDS0.77—Unverified
3MegFusionNDS0.77—Unverified
4RacoonPowerNDS0.76—Unverified
5BEVFusion-eNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8DAANDS0.75—Unverified
9FusionVPENDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified