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 751760 of 1576 papers

TitleStatusHype
LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal FusionCode0
Virtual Sparse Convolution for Multimodal 3D Object DetectionCode2
BSH-Det3D: Improving 3D Object Detection with BEV Shape HeatmapCode1
Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View0
X^3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection0
Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis0
AdaptiveShape: Solving Shape Variability for 3D Object Detection with Geometry Aware Anchor Distributions0
DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving0
Pillar R-CNN for Point Cloud 3D Object DetectionCode2
Introducing Depth into Transformer-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