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 1341–1350 of 1576 papers

TitleStatusHype
3D-FFS: Faster 3D object detection with Focused Frustum Search in sensor fusion based networks—0
MapFusion: A General Framework for 3D Object Detection with HDMaps—0
Machine-learning based methodologies for 3d x-ray measurement, characterization and optimization for buried structures in advanced ic packages—0
Offboard 3D Object Detection from Point Cloud Sequences—0
IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image—0
Sparse LiDAR and Stereo Fusion (SLS-Fusion) for Depth Estimationand 3D Object Detection—0
Pseudo-labeling for Scalable 3D Object Detection—0
3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images—0
DPointNet: A Density-Oriented PointNet for 3D Object Detection in Point Clouds—0
Object Removal Attacks on LiDAR-based 3D Object Detectors—0
Show:102550
← PrevPage 135 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
2MegFusionNDS0.77—Unverified
3MMFusion-eNDS0.77—Unverified
4BEVFusion-eNDS0.76—Unverified
5RacoonPowerNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8FusionVPENDS0.75—Unverified
9FocalFormer3D-FNDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified