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 241250 of 1576 papers

TitleStatusHype
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D SceneCode1
CG-SSD: Corner Guided Single Stage 3D Object Detection from LiDAR Point CloudCode1
CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point CloudCode1
4D-Net for Learned Multi-Modal AlignmentCode1
Group-Free 3D Object Detection via TransformersCode1
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point CloudCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object DetectionCode1
Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR RepresentationsCode1
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression FrameworkCode1
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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