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 181190 of 1576 papers

TitleStatusHype
An End-to-End Transformer Model for 3D Object DetectionCode1
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance SegmentationCode1
DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within DatasetsCode1
End-to-End Pseudo-LiDAR for Image-Based 3D Object DetectionCode1
SeSame: Simple, Easy 3D Object Detection with Point-Wise SemanticsCode1
Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point CloudCode1
3DRM:Pair-wise relation module for 3D object detectionCode1
A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object DetectionCode1
3D Cascade RCNN: High Quality Object Detection in Point CloudsCode1
DBQ-SSD: Dynamic Ball Query for Efficient 3D Object DetectionCode1
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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