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 1311–1320 of 1576 papers

TitleStatusHype
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search—0
TANet++: Triple Attention Network with Filtered Pointcloud on 3D Detection—0
RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection—0
To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels—0
Multi-Modal 3D Object Detection in Autonomous Driving: a Survey—0
LiDAR-Aug: A General Rendering-Based Augmentation Framework for 3D Object Detection—0
PVGNet: A Bottom-Up One-Stage 3D Object Detector With Integrated Multi-Level Features—0
RangeIoUDet: Range Image Based Real-Time 3D Object Detector Optimized by Intersection Over Union—0
RankDetNet: Delving Into Ranking Constraints for Object Detection—0
PointAugmenting: Cross-Modal Augmentation for 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