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
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving—0
Monocular 3D Object Detection with Pseudo-LiDAR Point CloudCode0
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving—0
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object DetectionCode0
The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes—0
DPOD: 6D Pose Object Detector and RefinerCode0
Stereo R-CNN based 3D Object Detection for Autonomous DrivingCode0
PIXOR: Real-time 3D Object Detection from Point CloudsCode1
Real-time 3D Traffic Cone Detection for Autonomous DrivingCode0
Three-dimensional Backbone Network for 3D Object Detection in Traffic ScenesCode0
DenseFusion: 6D Object Pose Estimation by Iterative Dense FusionCode0
3D Object Detection Using Scale Invariant and Feature Reweighting Networks—0
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous DrivingCode1
3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansCode0
PointPillars: Fast Encoders for Object Detection from Point CloudsCode2
IPOD: Intensive Point-based Object Detector for Point Cloud—0
PointRCNN: 3D Object Proposal Generation and Detection from Point CloudCode1
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point CloudCode1
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape—0
Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data—0
Joint Monocular 3D Vehicle Detection and TrackingCode0
MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object LocalizationCode0
Orthographic Feature Transform for Monocular 3D Object DetectionCode0
RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement—0
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose EstimationCode0
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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