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 531540 of 1576 papers

TitleStatusHype
WLST: Weak Labels Guided Self-training for Weakly-supervised Domain Adaptation on 3D Object DetectionCode1
CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object DetectionCode2
MagicDrive: Street View Generation with Diverse 3D Geometry ControlCode3
CoBEV: Elevating Roadside 3D Object Detection with Depth and Height ComplementarityCode1
Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training0
LS-VOS: Identifying Outliers in 3D Object Detections Using Latent Space Virtual Outlier Synthesis0
Towards Robust 3D Object Detection In Rainy Conditions0
Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection0
MonoGAE: Roadside Monocular 3D Object Detection with Ground-Aware Embeddings0
Robust 3D Object Detection from LiDAR-Radar Point Clouds via Cross-Modal Feature AugmentationCode1
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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