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 15411550 of 1576 papers

TitleStatusHype
A General Pipeline for 3D Detection of Vehicles0
SBNet: Sparse Blocks Network for Fast InferenceCode0
Joint 3D Proposal Generation and Object Detection from View AggregationCode0
PointFusion: Deep Sensor Fusion for 3D Bounding Box EstimationCode0
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance SegmentationCode0
Frustum PointNets for 3D Object Detection from RGB-D DataCode1
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object DetectionCode1
Fusing Bird View LIDAR Point Cloud and Front View Camera Image for Deep Object Detection0
3D-SSD: Learning Hierarchical Features from RGB-D Images for Amodal 3D Object Detection0
2D-Driven 3D Object Detection in RGB-D Images0
Show:102550
← PrevPage 155 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