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 1551–1576 of 1576 papers

TitleStatusHype
In search of inliers: 3d correspondence by local and global voting—0
Amodal Detection of 3D Objects: Inferring 3D Bounding Boxes From 2D Ones in RGB-Depth ImagesCode0
Visual-Inertial-Semantic Scene Representation for 3D Object Detection—0
Accurate Single Stage Detector Using Recurrent Rolling ConvolutionCode0
BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using DepthCode0
A 3D Object Detection and Pose Estimation Pipeline Using RGB-D Images—0
BoxCars: Improving Fine-Grained Recognition of Vehicles using 3-D Bounding Boxes in Traffic SurveillanceCode0
YOLO9000: Better, Faster, StrongerCode1
Point Pair Feature based Object Detection for Random Bin Picking—0
3D Bounding Box Estimation Using Deep Learning and GeometryCode1
Multi-View 3D Object Detection Network for Autonomous DrivingCode0
Multispectral Deep Neural Networks for Pedestrian DetectionCode1
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks—0
3D Object Proposals using Stereo Imagery for Accurate Object Class Detection—0
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation—0
Hashmod: A Hashing Method for Scalable 3D Object Detection—0
Three-Dimensional Object Detection and Layout Prediction Using Clouds of Oriented Gradients—0
Monocular 3D Object Detection for Autonomous Driving—0
Weighted Unsupervised Learning for 3D Object Detection—0
Automatic 3D object detection of Proteins in Fluorescent labeled microscope images with spatial statistical analysis—0
A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images—0
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images—0
Voting for Voting in Online Point Cloud Object Detection—0
Holistic 3D Scene Understanding From a Single Geo-Tagged Image—0
Towards 3D Object Detection With Bimodal Deep Boltzmann Machines Over RGBD Imagery—0
3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model—0
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All datasetsnuScenesScanNetV2SUN-RGBD valKITTI Cars EasyKITTI Cars HardnuScenes Camera OnlyKITTI Cars Easy valKITTI Cars Moderate valnuscenes Camera-RadarView-of-Delft (val)KITTI Cars Hard valDAIR-V2X-I

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