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 491500 of 1576 papers

TitleStatusHype
FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle DetectionCode1
3D Spatial Recognition without Spatially Labeled 3DCode1
Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous DrivingCode1
Lite-FPN for Keypoint-based Monocular 3D Object DetectionCode1
M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with TransformersCode1
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object DetectionCode1
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
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