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 1121–1130 of 1576 papers

TitleStatusHype
One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection—0
On Offline Evaluation of 3D Object Detection for Autonomous Driving—0
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
On the Metrics for Evaluating Monocular Depth Estimation—0
On the Robustness of 3D Object Detectors—0
OPA-3D: Occlusion-Aware Pixel-Wise Aggregation for Monocular 3D Object Detection—0
Open-set 3D Object Detection—0
HD-OOD3D: Supervised and Unsupervised Out-of-Distribution object detection in LiDAR data—0
Optimisation of the PointPillars network for 3D object detection in point clouds—0
ORA3D: Overlap Region Aware Multi-view 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