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 961–970 of 1576 papers

TitleStatusHype
QE-BEV: Query Evolution for Bird's Eye View Object Detection in Varied ContextsCode0
Towards Long-Range 3D Object Detection for Autonomous Vehicles—0
LS-VOS: Identifying Outliers in 3D Object Detections Using Latent Space Virtual Outlier Synthesis—0
Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training—0
Towards Robust 3D Object Detection In Rainy Conditions—0
Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection—0
MonoGAE: Roadside Monocular 3D Object Detection with Ground-Aware Embeddings—0
BEVHeight++: Toward Robust Visual Centric 3D Object Detection—0
LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection—0
M^2SODAI: Multi-Modal Maritime Object Detection Dataset With RGB and Hyperspectral Image Sensors—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