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 14411450 of 1576 papers

TitleStatusHype
Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVsCode0
SESS: Self-Ensembling Semi-Supervised 3D Object DetectionCode0
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous DrivingCode0
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object DetectionCode0
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance SegmentationCode0
Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape DataCode0
Shape Anchor Guided Holistic Indoor Scene UnderstandingCode0
Three-dimensional Backbone Network for 3D Object Detection in Traffic ScenesCode0
CVCP-Fusion: On Implicit Depth Estimation for 3D Bounding Box PredictionCode0
Shelf-Supervised Cross-Modal Pre-Training for 3D Object DetectionCode0
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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