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 14911500 of 1576 papers

TitleStatusHype
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection0
VolMap: A Real-time Model for Semantic Segmentation of a LiDAR surrounding view0
Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts0
Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D MappingCode0
Triangulation Learning Network: from Monocular to Stereo 3D Object DetectionCode0
Disentangling Monocular 3D Object Detection0
Shift R-CNN: Deep Monocular 3D Object Detection with Closed-Form Geometric Constraints0
RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud0
Multimodal 3D Object Detection from Simulated PretrainingCode0
Monocular Plan View Networks for Autonomous Driving0
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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