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 8190 of 1576 papers

TitleStatusHype
FocalFormer3D : Focusing on Hard Instance for 3D Object DetectionCode2
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object DetectionCode2
Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine PerceptionCode2
DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point CloudsCode2
SAM3D: Zero-Shot 3D Object Detection via Segment Anything ModelCode2
UniScene: Multi-Camera Unified Pre-training via 3D Scene Reconstruction for Autonomous DrivingCode2
PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point CloudsCode2
OctFormer: Octree-based Transformers for 3D Point CloudsCode2
TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene UnderstandingCode2
SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object DetectionCode2
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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