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 10711080 of 1576 papers

TitleStatusHype
MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation0
OcTr: Octree-based Transformer for 3D Object Detection0
DR.CPO: Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR OcclusionCode0
Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection0
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous DrivingCode0
GOOD: General Optimization-based Fusion for 3D Object Detection via LiDAR-Camera Object Candidates0
Weakly Supervised Monocular 3D Object Detection using Multi-View Projection and Direction ConsistencyCode0
Uni3D: A Unified Baseline for Multi-dataset 3D Object Detection0
Enhanced K-Radar: Optimal Density Reduction to Improve Detection Performance and Accessibility of 4D Radar Tensor-based Object Detection0
Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MegFusionNDS0.77Unverified
3MMFusion-eNDS0.77Unverified
4BEVFusion-eNDS0.76Unverified
5RacoonPowerNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8FusionVPENDS0.75Unverified
9FocalFormer3D-FNDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified