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

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Showing 891–900 of 1576 papers

TitleStatusHype
Frustum Fusion: Pseudo-LiDAR and LiDAR Fusion for 3D Detection—0
Frustum VoxNet for 3D object detection from RGB-D or Depth images—0
FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels—0
FSHNet: Fully Sparse Hybrid Network for 3D Object Detection—0
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images—0
Towards Long-Range 3D Object Detection for Autonomous Vehicles—0
Fusing Bird View LIDAR Point Cloud and Front View Camera Image for Deep Object Detection—0
FusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer for 3D Object Detection—0
FusionViT: Hierarchical 3D Object Detection via LiDAR-Camera Vision Transformer Fusion—0
Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences—0
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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