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 11011110 of 1576 papers

TitleStatusHype
MVFusion: Multi-View 3D Object Detection with Semantic-aligned Radar and Camera Fusion0
MVX-Net: Multimodal VoxelNet for 3D Object Detection0
Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis0
NeRF-DetS: Enhanced Adaptive Spatial-wise Sampling and View-wise Fusion Strategies for NeRF-based Indoor Multi-view 3D Object Detection0
Neural Rendering based Urban Scene Reconstruction for Autonomous Driving0
OA-BEV: Bringing Object Awareness to Bird's-Eye-View Representation for Multi-Camera 3D Object Detection0
Object2Scene: Putting Objects in Context for Open-Vocabulary 3D Detection0
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots0
Object-Aware Centroid Voting for Monocular 3D Object Detection0
Object-Centric Stereo Matching for 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