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 1401–1410 of 1576 papers

TitleStatusHype
InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling—0
Unsupervised object-centric video generation and decomposition in 3DCode0
Local Grid Rendering Networks for 3D Object Detection in Point Clouds—0
Optimisation of the PointPillars network for 3D object detection in point clouds—0
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey—0
Expandable YOLO: 3D Object Detection from RGB-D Images—0
Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometry Constrained Keypoints in Real-Time—0
Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles—0
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies—0
Stereo RGB and Deeper LIDAR Based Network for 3D Object Detection—0
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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