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 931–940 of 1576 papers

TitleStatusHype
Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving—0
Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object Detection—0
Holistic 3D Scene Understanding From a Single Geo-Tagged Image—0
Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection—0
HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection—0
Hyperbolic Cosine Transformer for LiDAR 3D Object Detection—0
HyperDet3D: Learning a Scene-conditioned 3D Object Detector—0
Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception—0
I3DOD: Towards Incremental 3D Object Detection via Prompting—0
IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image—0
Show:102550
← PrevPage 94 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