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 11811190 of 1576 papers

TitleStatusHype
Monocular 3D Object Detection: An Extrinsic Parameter Free Approach0
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search0
Representation Based Regression for Object Distance EstimationCode1
TANet++: Triple Attention Network with Filtered Pointcloud on 3D Detection0
Real-time 3D Object Detection using Feature Map FlowCode1
Radar Voxel Fusion for 3D Object DetectionCode1
RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection0
To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels0
Multi-Modal 3D Object Detection in Autonomous Driving: a Survey0
FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object DetectionCode1
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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