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 391400 of 1576 papers

TitleStatusHype
SeSame: Simple, Easy 3D Object Detection with Point-Wise SemanticsCode1
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object DetectionCode1
Enhancing 3D Object Detection with 2D Detection-Guided Query AnchorsCode1
Cross-Cluster Shifting for Efficient and Effective 3D Object Detection in Autonomous Driving0
SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object DetectionCode2
RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR FeaturesCode1
LVIC: Multi-modality segmentation by Lifting Visual Info as Cue0
ActFormer: Scalable Collaborative Perception via Active Queries0
CN-RMA: Combined Network with Ray Marching Aggregation for 3D Indoors Object Detection from Multi-view ImagesCode1
CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection0
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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