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 331340 of 1576 papers

TitleStatusHype
ReBound: An Open-Source 3D Bounding Box Annotation Tool for Active LearningCode1
DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object DetectionCode1
Calibration-free BEV Representation for Infrastructure PerceptionCode1
BSH-Det3D: Improving 3D Object Detection with BEV Shape HeatmapCode1
FastPillars: A Deployment-friendly Pillar-based 3D DetectorCode1
LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object DetectionCode1
On the Adversarial Robustness of Camera-based 3D Object DetectionCode1
Exploring Active 3D Object Detection from a Generalization PerspectiveCode1
Unleash the Potential of Image Branch for Cross-modal 3D Object DetectionCode1
SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded NetworkCode1
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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