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

Showing 551560 of 1576 papers

TitleStatusHype
Part-Aware Data Augmentation for 3D Object Detection in Point CloudCode1
Weakly Supervised 3D Object Detection from Lidar Point CloudCode1
Pillar-based Object Detection for Autonomous DrivingCode1
Kinematic 3D Object Detection in Monocular VideoCode1
EPNet: Enhancing Point Features with Image Semantics for 3D Object DetectionCode1
CenterNet3D: An Anchor Free Object Detector for Point CloudCode1
Wasserstein Distances for Stereo Disparity EstimationCode1
AFDet: Anchor Free One Stage 3D Object DetectionCode1
H3DNet: 3D Object Detection Using Hybrid Geometric PrimitivesCode1
3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance SegmentationCode1
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Benchmark Results

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