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 14711480 of 1576 papers

TitleStatusHype
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty EstimationCode1
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous DrivingCode0
VolMap: A Real-time Model for Semantic Segmentation of a LiDAR surrounding view0
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection0
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
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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