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 14311440 of 1576 papers

TitleStatusHype
TANet: Robust 3D Object Detection from Point Clouds with Triple AttentionCode0
What You See is What You Get: Exploiting Visibility for 3D Object DetectionCode0
Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point CloudsCode0
Learning Depth-Guided Convolutions for Monocular 3D Object DetectionCode0
Relation Graph Network for 3D Object Detection in Point Clouds0
PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement0
PointPainting: Sequential Fusion for 3D Object DetectionCode1
RefinedMPL: Refined Monocular PseudoLiDAR for 3D Object Detection in Autonomous Driving0
Learning Permutation Invariant Representations using Memory NetworksCode0
PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MegFusionNDS0.77Unverified
3MMFusion-eNDS0.77Unverified
4BEVFusion-eNDS0.76Unverified
5RacoonPowerNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8FusionVPENDS0.75Unverified
9FocalFormer3D-FNDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified