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 301310 of 1576 papers

TitleStatusHype
Aligning Bird-Eye View Representation of Point Cloud Sequences using Scene FlowCode1
Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object DetectionCode1
DQS3D: Densely-matched Quantization-aware Semi-supervised 3D DetectionCode1
Fully Sparse Fusion for 3D Object DetectionCode1
Density-Insensitive Unsupervised Domain Adaption on 3D Object DetectionCode1
MetaBEV: Solving Sensor Failures for BEV Detection and Map SegmentationCode1
Parcel3D: Shape Reconstruction from Single RGB Images for Applications in Transportation LogisticsCode1
RadarGNN: Transformation Invariant Graph Neural Network for Radar-based PerceptionCode1
Curricular Object Manipulation in LiDAR-based Object DetectionCode1
MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 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