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 12111220 of 1576 papers

TitleStatusHype
M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with TransformersCode1
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object DetectionCode1
Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird's Eye View0
Exploring 2D Data Augmentation for 3D Monocular Object Detection0
BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving0
BADet: Boundary-Aware 3D Object Detection from Point CloudsCode1
SE-SSD: Self-Ensembling Single-Stage Object Detector From Point CloudCode1
Lidar Point Cloud Guided Monocular 3D Object DetectionCode1
MonoGRNet: A General Framework for Monocular 3D Object Detection0
HoughNet: Integrating near and long-range evidence for visual detectionCode1
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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