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 5160 of 1576 papers

TitleStatusHype
MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models0
Point Cloud Based Scene Segmentation: A Survey0
UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-based 3D Object Detection0
HeightFormer: Learning Height Prediction in Voxel Features for Roadside Vision Centric 3D Object Detection via Transformer0
Semantic-Supervised Spatial-Temporal Fusion for LiDAR-based 3D Object Detection0
RoCo-Sim: Enhancing Roadside Collaborative Perception through Foreground SimulationCode1
Evaluating the Impact of Synthetic Data on Object Detection Tasks in Autonomous Driving0
CleverDistiller: Simple and Spatially Consistent Cross-modal Distillation0
Dual-Domain Homogeneous Fusion with Cross-Modal Mamba and Progressive Decoder for 3D Object Detection0
Learning to Detect Objects from Multi-Agent LiDAR Scans without Manual LabelsCode1
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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