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 571580 of 1576 papers

TitleStatusHype
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance SegmentationCode1
Predicting Semantic Map Representations from Images using Pyramid Occupancy NetworksCode1
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View MapsCode1
BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye ViewCode1
Point-GNN: Graph Neural Network for 3D Object Detection in a Point CloudCode1
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial RelationshipsCode1
ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object DetectionCode1
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single ImageCode1
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint EstimationCode1
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image VotesCode1
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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