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

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Showing 1501–1525 of 1576 papers

TitleStatusHype
Amodal Detection of 3D Objects: Inferring 3D Bounding Boxes From 2D Ones in RGB-Depth ImagesCode0
Entropy Loss: An Interpretability Amplifier of 3D Object Detection Network for Intelligent DrivingCode0
cMinMax: A Fast Algorithm to Find the Corners of an N-dimensional Convex PolytopeCode0
Aerial Monocular 3D Object DetectionCode0
Monocular 3D Object Detection with Pseudo-LiDAR Point CloudCode0
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape ReconstructionCode0
Triangulation Learning Network: from Monocular to Stereo 3D Object DetectionCode0
Class-balanced Grouping and Sampling for Point Cloud 3D Object DetectionCode0
TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object DetectionCode0
Monocular 2D Camera-based Proximity Monitoring for Human-Machine Collision Warning on Construction SitesCode0
M&M3D: Multi-Dataset Training and Efficient Network for Multi-view 3D Object DetectionCode0
Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D MappingCode0
MLVSNet: Multi-Level Voting Siamese Network for 3D Visual TrackingCode0
MEDL-U: Uncertainty-aware 3D Automatic Annotation based on Evidential Deep LearningCode0
Eloss in the way: A Sensitive Input Quality Metrics for Intelligent DrivingCode0
MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection GeneralizationCode0
Weakly Supervised Monocular 3D Object Detection using Multi-View Projection and Direction ConsistencyCode0
MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object DetectionCode0
CascadeV-Det: Cascade Point Voting for 3D Object DetectionCode0
Long-Tailed 3D Detection via Multi-Modal FusionCode0
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic ImageryCode0
LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal FusionCode0
Uncertainty-Aware AB3DMOT by Variational 3D Object DetectionCode0
KAN-RCBEVDepth: A multi-modal fusion algorithm in object detection for autonomous drivingCode0
Uncertainty-Aware Voxel based 3D Object Detection and Tracking with von-Mises LossCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78—Unverified
2MMFusion-eNDS0.77—Unverified
3MegFusionNDS0.77—Unverified
4RacoonPowerNDS0.76—Unverified
5BEVFusion-eNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8DAANDS0.75—Unverified
9FusionVPENDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified