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 891900 of 1576 papers

TitleStatusHype
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment0
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection0
Out-of-Distribution Detection for LiDAR-based 3D Object Detection0
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object DetectionCode1
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents0
Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence MapsCode2
Center Feature Fusion: Selective Multi-Sensor Fusion of Center-based Objects0
DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars0
FusionRCNN: LiDAR-Camera Fusion for Two-stage 3D Object DetectionCode0
BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic Temporal StereoCode2
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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